MediaSFU

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing. It does not say whether the tool is read-only, whether results span the whole SDK or a scoped subset, whether results are paginated or ranked, or how large the response is. Only the name hints at a read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single line is short but that brevity is under-specification, not economy. The front-loaded content duplicates the name rather than telling the agent anything new, so no sentence earns its place beyond the platform scoping.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with no output schema and no annotations, the description should at least characterize what comes back (reference entries, snippet format, how the agent should consume results). None of that is present, leaving the agent unable to predict the shape or usefulness of the response.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

One parameter with 100% schema description coverage ('Search terms for bundled SDK references'), so the schema already documents syntax, type, and the 500-char limit. The description adds nothing about query semantics (matching behavior, ranking, multi-term handling), so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a tautology: it restates the tool name 'api.reference.search' plus a hyphenated echo of it. It conveys only that this is a reference search for the Android flavor of MediaSFU, which the fully-qualified name 'android::api.reference.search' already carries. No distinct verb+resource statement beyond the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance whatsoever. With ~13 sibling tools per platform (feature.map, fix.suggest, sdk.recommend, runtime.diagnose, etc.), the agent receives no signal about when a bundled-SDK reference lookup is the right choice versus those alternatives. Usage is left entirely to inference from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing. Side effects such as dry-run vs. write behavior, overwrite semantics, and permission/path requirements are only discoverable from the schema, not the description. For a mutation-capable generator this is a serious gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but brevity here reflects under-specification rather than efficiency; the single fragment restates the name without front-loading any useful information. Nothing about the operation is conveyed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter code-generating tool with no annotations and no output schema, the description is wholly inadequate. An agent would have to infer the tool's role entirely from the name and schema, and any precondition or safety context is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all four parameters (apply, outputDir, overwrite, projectRoot) are already fully documented in the schema, establishing a baseline of 3. The description adds no parameter meaning beyond that baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a tautological restatement of the tool name: 'app.scaffold (scaffold)'. It never states what scaffolding does, what gets generated, or how it differs from sibling tools like feature.map or integration.plan. Only the namespace prefix hints at the resource.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative guidance. The agent cannot tell from this text whether to run scaffold before or after env.preflight, or how it relates to room.bootstrap or integration.plan.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not that omitting 'execute' produces a dry-run, not what is inspected or mutated, not whether it requires a valid project root. The one useful behavioral fact (dry-run default) lives only in the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short but not concise in the useful sense: the single fragment is under-specified rather than economical. No sentence earns its place by conveying actionable information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter command tool with no annotations and no output schema, the description should explain invocation intent and expected effect. It supplies none of that, leaving the agent unable to reason about when or why to call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already explains both 'execute' (dry-run default) and 'projectRoot' (defaults to cwd). The description adds no parameter meaning, which matches the baseline of 3 when the schema does all the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name with the generic label '(command)' and adds no verb-resource detail. An agent cannot tell from this text that the tool checks project prerequisites or environment readiness before a build, nor how it differs from siblings like runtime.diagnose or sdk.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to run the preflight, what conditions make it necessary, or which alternatives exist. The text is purely a name-and-label restatement with zero situational context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no read/write nature, no side effects, no auth or environment requirements, no rate or size limits. 'mapper' conveys no behavioral trait.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity comes from under-specification rather than efficient front-loading. The one line spends its space on a namespace prefix and a redundant parenthetical instead of information an agent can act on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and 0% parameter coverage, this tool needs the description to explain the mapping operation and its feature inputs. It supplies none of that, leaving an agent unable to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter 'requestedFeatures' is documented only by the terse item text 'Required feature.' The description adds nothing about the accepted feature vocabulary, maxItems 32, or uniqueItems constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Android :: feature.map (mapper)' only restates the tool name and its parenthetical alias 'mapper'. It never says what is mapped, from what to what, or what output the mapping produces, so it is effectively a tautology rather than a statement of purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use feature.map versus any of its many siblings (integration.plan, app.scaffold, ui.mode.recommend, etc.), nor any precondition or exclusion. An agent has no basis for choosing this tool over its neighbors.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden and discloses nothing. It does not say whether the tool reads state or mutates the project, what input it needs to know what to fix, whether suggestions are advisory or auto-applied, or whether any auth/setup is required. For a remediation tool this is a serious gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single fragment is short and front-loaded, wasting no words. But at one clause it is under-specified rather than concise – it does not function as a complete description sentence. Length is not the problem; content is minimal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool takes no parameters, has no output schema, and no annotations, so the description is the only channel for context – and it delivers none. An agent cannot tell what triggers this tool, what it returns, or how it differs from the many sibling planning/diagnostic tools. Completely inadequate for the family it sits in.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema declares zero parameters with additionalProperties false, so there are no parameter semantics to explain and the description cannot be faulted for omitting them. Baseline for a zero-parameter tool is 4. It does not, however, explain how a no-argument tool determines what to remediate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name plus the parenthetical "(remediation)" – it restates the identifier rather than stating what a fix suggestion actually operates on. An agent learns the target platform (Android) and that the tool is remediation-oriented, but not what artifact or error it consumes or produces. This is close to tautology and gives no differentiation from android::runtime.diagnose or android::env.preflight.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative routing guidance at all. With siblings like android::runtime.diagnose, android::env.preflight, and android::integration.plan in the same family, the description should say which situation selects fix.suggest, but it says nothing. Only the name weakly implies post-diagnosis usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no cost, latency, required credentials, statefulness, or whether the plan is cached or generated per call. The '(planner)' tag hints at a read-only analytical role but never states it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity comes from under-specification rather than economy; the single fragment conveys almost no information. A one-line identifier echo is not front-loaded structure, it is an absent description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter tool with no annotations, no output schema, and incomplete schema descriptions, the description supplies none of the missing context. An agent cannot determine input expectations, output shape, or the tool's relationship to the rest of the MediaSFU workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Three parameters with only 33% schema description coverage ('backendMode' has no description at all beyond its enum), and the tool description adds zero parameter context. It does not explain what appType expects, how requestedFeatures influences the plan, or what the backend modes mean for the plan output.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Android :: integration.plan (planner)' essentially restates the tool name and adds only the vague parenthetical '(planner)'. It names no verb and no resource beyond what the identifier already encodes, so an agent learns nothing about what planning output looks like or how it differs from siblings like android::feature.map or android::app.scaffold.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, prerequisite, or alternative-tool guidance anywhere in the text. With ~15 sibling Android tools available, the agent has no basis for choosing integration.plan over feature.map or sdk.recommend.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries the full behavioral burden, and it discloses nothing: no return format, no side effects, no auth or environment prerequisites, no indication whether it emits code, prose, or configuration. '(guide)' is the only signal and it is too thin to act on.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity comes from under-specification rather than economy. There is no front-loaded statement of purpose, just a namespace fragment, so nothing meaningful is communicated in its single clause.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a cross-platform bootstrap tool with no annotations and no output schema, the definition leaves an agent with no basis to know what it produces or when to call it. Nothing an agent needs in order to invoke it correctly is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single optional 'query' parameter is fully documented in the schema (100% coverage, maxLength 500), so the schema already does the work. The description adds no meaning beyond it, which is the baseline case for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Android :: room.bootstrap (guide).' is essentially a restatement of the tool name plus the platform namespace. Only the parenthetical '(guide)' hints at the resource type (a documentation lookup), but there is no specific verb or outcome that distinguishes it from siblings like room.flow.explain or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance whatsoever on when to invoke this versus the ~120 sibling tools, including the closely named room.flow.explain, integration.plan, or app.scaffold. The reader cannot infer whether this is a first step, a fallback, or a reference lookup.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no read-only nature, no side effects, no output shape, no auth or environment requirements. The single semantic hint ('flow-explainer') is too thin to count as disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but brevity here comes from under-specification rather than efficiency. A title-style fragment with a redundant parenthetical does not earn its place as a tool description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a real parameter, no annotations, and no output schema, the description should at minimum state what is explained and in what context. None of that is present, so an agent cannot call it correctly with confidence.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description never mentions the 'mode' parameter or what create/join/both select between. The enum values are somewhat self-explanatory, which keeps this above 1, but the description adds zero meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a restatement of the tool name plus the parenthetical 'flow-explainer', which only weakly hints at intent. It never says what is being explained (room create/join lifecycle?), nor how that distinguishes it from siblings like room.bootstrap or room.lifecycle.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites, and no routing to or away from any alternative tool despite dozens of overlapping siblings. An agent has nothing to decide selection on.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not say whether the call is read-only, what the output looks like, whether it needs network access, or what limits apply to the error text.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single fragment is short but not informative — brevity here is under-specification rather than conciseness. There is no front-loaded statement of intent or outcome to justify the sentence's existence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a diagnostic tool with no annotations and no output schema, the description should explain what the diagnosis produces and when it applies. None of that is present, leaving the definition functionally empty.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%: errorText is documented in the schema as a 'Sanitized error or log excerpt' with an 8000-character cap. The description adds no syntax, format, or sanitization guidance beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name and adds the generic label '(diagnostic)'. It never states what the tool actually does with the errorText it accepts — no mention of root-cause analysis, fix recommendation, or log interpretation — so it cannot be distinguished from siblings like fix.suggest, env.preflight, or runtime.readiness.diagnose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no alternate-tool routing. An agent facing a runtime error has no basis for choosing runtime.diagnose over fix.suggest or env.preflight based on this text.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: no indication of whether this is a read-only advisory call, whether it mutates project state, what inputs it requires, or how expensive/remote the operation is. "(advisor)" is the only behavioral hint, and it is not elaborated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is one terse line with zero front-loading problems, but the brevity is under-specification rather than economy — almost no informational content for a tool with two inputs and no output schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a recommendation tool with no output schema and half its parameters undocumented, the description should at minimum explain what a recommendation consists of and how appType/requestedFeatures shape it. None of that is present, leaving an agent unable to know when or how to call it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50% and the existing schema text is thin ("Application type.", "Required feature."). The description adds no meaning to appType or requestedFeatures — no accepted values, no format examples, no effect on the recommendation. With low coverage the description should compensate, and it does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"MediaSFU Android :: sdk.recommend (advisor)" restates the tool name with a platform prefix and an ambiguous parenthetical. "advisor" hints at guidance/recommendation, but there is no verb+resource statement of what is actually returned or recommended (an SDK package? a config? a version?). An agent cannot distinguish this from sibling shapers like android::ui.mode.recommend or android::integration.plan without guessing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative among the many sibling planner/recommender tools. The runtime sibling pattern (ui.mode.recommend, integration.plan, feature.map) makes routing ambiguous, and the description does nothing to resolve it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing: no auth requirements, no indication of whether it mutates proxy/room configuration, no side effects, no rate limits, no output shape. '(security-guide)' is too vague to count as disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but brevity here is under-specification rather than conciseness — a single fragment that repeats the tool's own name. Front-loading is moot because there is no substance to front-load.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 1-parameter tool with no annotations and no output schema, the description should explain purpose, usage and behavior, and it supplies none of them. An agent has essentially nothing to act on beyond the tool's name.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the sole parameter, backendMode, is never mentioned in the description. Its enum values (cloud/self-hosted/local) are self-explanatory in the schema, but the description adds no meaning about what selecting a mode implies for this tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a restatement of the tool name plus a platform prefix and a vague tag '(security-guide)'. It names no verb or resource being acted on, so an agent cannot tell what the tool actually does from the text alone. Only the dotted name hints at a proxy/rooms security concern.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives among the ~40 platform-variant siblings (shared::, angular::, flutter::, etc.). Nothing tells an agent when this Android-specific variant is the right choice versus the shared one.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether this is read-only advice or a mutating setup step, whether it can be called repeatedly, or what output form it yields. A parenthetical label is not behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short, but that brevity comes from under-specification rather than economy. There is no front-loaded purpose sentence, just an identifier and a tag.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A two-parameter recommendation tool with no annotations, no output schema, and no parameter documentation needs the description to supply purpose, inputs, and return behavior. None of that is present, leaving the definition effectively unusable for selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for two parameters (ownershipLevel, customizationLevel). The description adds zero meaning — it doesn't explain what the enum levels represent or how they steer the recommendation, which is exactly the information the schema lacks.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus a parenthetical label '(ui-advisor)'. It never states in plain language what the tool does — e.g. that it recommends a UI integration mode given ownership/customization constraints — nor how it differs from siblings like ui.overrides.guide or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'ui-advisor' faintly implies this is an advisory/consultative tool, but there is no statement of when to call it, what inputs to have ready, or which alternative tool to pick instead. An agent cannot infer its place in the workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about what the tool does, whether it mutates state, requires auth, or has side effects. It is a bare title.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short to the point of being empty; there is no wasted text because there is no substantive content at all. This is under-specification, not conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, two params (one undescribed), and an enum left unexplained, the description is completely inadequate for an agent to know what this tool returns or how to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50%: the 'mode' param has a description but 'focus' does not, and neither is explained in the description. The enum values (branding, layout, cards, controls, headless-shell, native-bridge) are left entirely undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the namespace-qualified name ("MediaSFU Android :: ui.overrides.guide (ui-overrides)") with no verb or resource statement. It is essentially a tautology that gives no hint of what the tool actually does or returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no indication of when to use this tool, when not to, or how it differs from siblings like android::ui.mode.recommend or shared::ui.overrides.guide. No alternatives are named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no read-only/analysis framing, no scope limits, no indication of what the search operates over or how results are bounded.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity comes from under-specification rather than economy. The one sentence present is pure boilerplate identifier text and earns no place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and a dense family of near-identical sibling tools, the description must at minimum establish scope (Angular-specific bundled SDK references) and result behavior. It establishes neither, leaving the agent unable to distinguish this tool from its many counterparts.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single required 'query' parameter is already documented as 'Search terms for bundled SDK references.' The description adds no meaning beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a namespaced restatement of the tool name ('MediaSFU Angular :: api.reference.search (reference-search)') with no verb or explanation of what searching actually returns or covers. An agent learns nothing beyond the identifier it already has.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given. The SDK-reference search sits alongside dozens of siblings (fix.suggest, feature.map, sdk.recommend, runtime.diagnose) and framework variants (android/android/flutter/kotlin...), and the description does not say when to reach for reference search versus those alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. A scaffolding tool writes files into the consumer project (the schema's 'apply' and 'overwrite' flags imply potentially destructive writes), yet the description never mentions side effects, dry-run defaulting, file creation, or required permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The sentence is short but not concise in any meaningful sense: it is a bare identifier echo with zero informational payload. Brevity here reflects under-specification rather than economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that generates and writes project files with 4 parameters, no annotations, and no output schema, the description is far too thin. The schema documents the knobs, but the description gives no account of what the scaffold produces or how it interacts with the rest of the MediaSFU workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with clear inline docs for apply, outputDir, overwrite, and projectRoot, so the baseline is 3. The description adds no meaning beyond the schema, but it is not required to given the coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name: 'MediaSFU Angular :: app.scaffold (scaffold).' It conveys no verb+resource explanation beyond what the identifier already implies, and nothing distinguishes it from the dozens of sibling 'app.scaffold' variants other than the platform prefix baked into the name itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as integration.plan, room.bootstrap, or env.preflight, nor any statement of prerequisites or ordering. The agent must infer the scaffolding role entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing. The word '(command)' vaguely hints at execution, but there is no mention of side effects, whether it writes to or validates the project, permission requirements, or that execute=true actually runs a trusted manifest command.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short fragment with zero padding, so it is concise, but the brevity comes from under-specification rather than disciplined editing. Nothing is front-loaded because there is no substance to order.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a command that may execute a trusted manifest with no annotations, no output schema, and no parameter detail, the description is far too thin. An agent lacks the information needed to decide whether invocation is safe or appropriate, leaving a significant gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for both parameters, so the schema already explains the dry-run/execute toggle and the projectRoot default. The description adds no clarification beyond that, which meets the baseline 3 when structured fields do the work.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the name with a platform prefix: 'MediaSFU Angular :: env.preflight (command).' It never states what a preflight check does, what environment aspects it verifies, or how it differs from siblings like runtime.diagnose or integration.plan. This is essentially a tautology of the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-tool guidance. An agent cannot tell from the text whether this should run before app.scaffold, before integration.plan, or in isolation, nor that it is the Angular-specific variant among the many per-platform env.preflight siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no return shape, no side effects, no auth requirements, no idempotency. "mapper" hints at a transformation but says nothing about what is transformed into what.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity comes from under-specification rather than efficiency. There is nothing to front-load because no substantive content exists.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with an input parameter, no annotations, and no output schema, the description should explain purpose, inputs, and behavior. It supplies none of these, leaving the agent unable to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter "requestedFeatures" has 0% schema description coverage and the description adds zero meaning beyond the field name. There is no mention of accepted values, format, or the 32-item/80-char constraints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"feature.map (mapper)" merely restates the tool name; the parenthetical adds no information. Only the MediaSFU Angular namespace is conveyed, so an agent cannot tell what the tool actually maps or produces, nor how it differs from siblings like shared::feature.map or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description contains no when-to-use, when-not-to-use, or alternative-tool guidance. With 100+ sibling tools sharing the feature.map name across platforms, the absence of any routing signal is a serious gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full behavioral burden, and it discloses nothing: not whether output is static reference content or dynamic advice, not whether the suggested fixes are safe or destructive, not auth or rate-limit requirements. The single word 'remediation' is a category label, not behavioral information.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a compact, front-loaded single fragment with no waste, but it is essentially a namespaced title rather than a description, so its brevity reflects under-specification rather than disciplined editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotations, and no parameter docs, the description needed to explain what a 'fix suggestion' contains and how it should be used relative to the other 100+ sibling tools. It provides none of that, leaving the agent unable to predict the result of calling it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is fully covered, so there is nothing for the description to clarify. The baseline for a param-less tool applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a platform (MediaSFU Angular) and an action-plus-resource pair ('fix.suggest' / 'remediation'), so the agent can tell it apart from siblings like 'runtime.diagnose' by the platform prefix and the remediation verb. However, it never says what kind of fixes are suggested, on what basis, or what input/output it works with, so the purpose remains vague beyond the label.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to, or how it relates to alternatives such as 'runtime.diagnose', 'api.reference.search', or 'env.preflight'. The '(remediation)' tag only weakly implies it follows a diagnosis, leaving the agent to guess the workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It says nothing about whether this reads or writes, whether it requires prior preflight/credential state, what permissions it needs, whether it mutates project files, or what it returns. The single parenthetical "(planner)" is the only behavioral hint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but it is under-specified rather than concise — the entire string is a label, not a useful instruction. This is the LOW calibration pattern where brevity reflects missing content, not efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter planning tool with no annotations, no output schema, and incomplete parameter documentation, the description supplies none of the context an agent needs to invoke it confidently or distinguish it from its many siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, so the description must compensate and does not. appType is documented only as "Application type." and the backendMode enum (cloud/self-hosted/local) has no description anywhere, nor does the description explain what choosing a backendMode implies for the plan output.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus a platform prefix and the word "planner." It conveys no verb or resource beyond what the identifier already says, and does not differentiate this tool from the near-identical flutter::integration.plan, swift::integration.plan, shared::integration.plan, or the dozen other integration.plan siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-routing guidance whatsoever. The description gives no indication of where "planner" fits in the workflow relative to siblings like feature.map, env.preflight, or sdk.recommend.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether it is read-only, what the guide covers, how large the response is, or what the optional query does. '(guide)' is a weak hint at informational output but is not a behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The string is short but that brevity reflects under-specification rather than economy. It is a label fragment, not a sentence with a front-loaded purpose statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With one optional parameter, no output schema, and no annotations, the description should at minimum say what the guide teaches and how it differs from the many sibling guide/plan tools. It omits both, leaving the agent unable to predict the return content or choose confidently among angular::room.bootstrap, angular::room.flow.explain, and angular::integration.plan.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and there is a single optional 'query' parameter whose schema description already explains it as an optional topic to locate. The description adds no syntax, format, or matching semantics beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name and namespace: 'MediaSFU Angular :: room.bootstrap (guide).' The only added token is '(guide)', which hints at documentation retrieval but does not state a verb or resource in a way that distinguishes it from siblings like angular::room.flow.explain or angular::integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative routing guidance. An agent cannot tell from this text whether to call this versus angular::room.flow.explain, angular::integration.plan, or angular::app.scaffold for a room setup question.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it discloses nothing: no read-vs-write behavior, no return shape, no cost, no preconditions. The word 'explain' implies a read-only informational output but this is never stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity comes from under-specification rather than efficient phrasing. The only content is a namespaced tool identifier and a parenthetical label, with no front-loaded explanation of purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with an enum parameter, no annotations, and no output schema, the description supplies none of the behavioral or output context an agent would need. It is completely inadequate relative to the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single 'mode' parameter, and the description adds nothing about it. The enum values create/join/both are self-interpreting, which keeps this above a 1, but there is no explanation of what each mode yields or what the default (0 required params) behavior is.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus the tag '(flow-explainer)', offering no specific verb+resource statement of what the tool actually does. It does not distinguish this from siblings like room.bootstrap or integration.plan, which also concern room setup flows. Borderline tautology with only a faint hint at intent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to, or which sibling to prefer instead. With ~25 closely related siblings (room.bootstrap, room.lifecycle.plan, integration.plan, etc.) an agent has nothing to route on.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden and discloses none of it: not whether the call is read-only, whether it consumes the error text for analysis only, what it returns, or any size/rate constraints. A single word, 'diagnostic', is all the agent gets.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loaded, but the brevity is under-specification rather than concision — the single sentence earns its place only by naming the namespace. There is no second sentence of substance that was trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and a description that explains nothing about the diagnosis result, an agent lacks everything needed to call this confidently and interpret the response. The tool clearly expects a sanitized error excerpt but never explains the expected format, source, or downstream use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and there is only one parameter (errorText, 'Sanitized error or log excerpt'), so the schema already documents the input fully. The description adds nothing beyond it, which lands at the baseline 3 for a high-coverage single-parameter schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus the synonym 'diagnostic', which is a tautology rather than a statement of what the tool does. It never says what a runtime diagnosis actually produces (root cause, fix suggestion, log analysis), so an agent cannot distinguish it from sibling fix.suggest or runtime.readiness.diagnose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative reference anywhere in the description. Candidates like fix.suggest, runtime.readiness.diagnose, and env.preflight are plausible competitors for the same request, yet nothing routes the agent between them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it discloses nothing: not whether the call is read-only, whether it is deterministic, what inputs drive the recommendation, or what the caller receives. '(advisor)' is the only hint and it is too thin to be actionable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity comes from under-specification rather than efficiency. The one line contains no front-loaded statement of action or outcome, so nothing is earned.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, two partially undocumented parameters, and a crowded sibling space of ~120 tools, this definition omits everything an agent would need to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50% ('Application type.' and 'Required feature.' are minimal), and the description adds nothing about appType or requestedFeatures — no accepted values, no format, no effect on the recommendation. The description does not compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name with a platform prefix ('MediaSFU Angular :: sdk.recommend') plus the parenthetical '(advisor)'. It never states what is actually recommended or produced, and gives no basis for distinguishing it from siblings like feature.map, ui.mode.recommend, or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool. An agent cannot tell from this text when sdk.recommend is the right call versus integration.plan or api.reference.search.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals nothing about whether the tool reads or mutates, what it returns, or what the backendMode selection changes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short but that reflects under-specification rather than conciseness; it is a name echo rather than a front-loaded explanation of purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and an undocumented parameter, the description supplies none of the context an agent needs. Almost everything required to invoke the tool correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the single backendMode parameter, but it says nothing about it. The enum values (cloud, self-hosted, local) are somewhat self-explanatory, which is the only reason this is not a 1.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name and namespace ('MediaSFU Angular :: security.proxy.rooms') plus an opaque tag '(security-guide)'. There is no verb or resource action, so an agent cannot tell what the tool actually does or how it differs from siblings like security-related or room.bootstrap tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, prerequisites, or alternative tools are mentioned. The '(security-guide)' tag implies documentation, but nothing routes the agent between this and the many sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden, and it discloses nothing: not whether this is a read-only recommendation or a mutation, not whether parameters are optional, not what the result contains. The '(ui-advisor)' aside conveys no behavioral trait.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single line is short but wastes its space on a module prefix and a restated name rather than front-loading any informative content. This is under-specification rather than genuine conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-parameter advisory tool with no annotations and no output schema, the description supplies nothing: no purpose, no parameter meaning, no result shape. It is not quite zero only because the enum-typed parameters and descriptive name give the agent a minimal foothold.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Both parameters have 0% schema description coverage, so the description must compensate and does not — neither 'ownershipLevel' nor 'customizationLevel' is mentioned. The only help comes from the enums themselves (managed/partial/full, low/medium/high), which are structured data, not description value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name restated ('MediaSFU Angular :: ui.mode.recommend') plus the vague label '(ui-advisor)'. It never says what is being recommended or in what mode, so an agent gets no more than it could infer from the identifier. There is no differentiation from the sibling 'ui.overrides.guide'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, prerequisite, or alternative guidance of any kind. The mention of a sibling 'ui.overrides.guide' is never cross-referenced, so the agent has no basis for choosing between them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure — and it discloses nothing. It does not say whether this returns guidance text, requires a prior mode selection, or has any side effects, so an agent cannot predict the outcome of calling it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity is under-specification rather than conciseness — the string is a namespace header, not a front-loaded description of behavior. There is no structure to evaluate because there is no content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with a constrained enum, no annotations, and no output schema, the description is entirely inadequate. An agent has no basis to decide when to call this rather than a sibling, or how to populate its arguments.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%: the 'focus' enum (branding, layout, cards, controls, headless-shell, native-bridge) has no description at all, and 'mode' only gets the circular gloss 'SDK-supported UI ownership mode.' The description text adds zero information about either parameter, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a near-verbatim restatement of the tool name and namespace path ('MediaSFU Angular :: ui.overrides.guide (ui-overrides)'), with no verb or statement of what the tool actually does. It gives no hint that this is guidance for UI overrides, nor how it differs from the sibling angular::ui.mode.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no routing to alternatives. The sibling list contains an obvious near-neighbour (angular::ui.mode.recommend) and several overlapping guide tools, yet the description does nothing to disambiguate them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden, yet it discloses nothing about behavior—no result format, scope of the reference index, ranking, or limits. It is a pure restatement of the identifier.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is under-specification rather than conciseness—the single sentence is a title echo and carries no informational payload. Nothing meaningful is front-loaded because nothing meaningful is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter search tool with no output schema and no annotations, the description should at least say what corpus is searched and what the results represent. None of that is supplied, leaving the agent to guess.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single `query` parameter is well documented in the schema ('Search terms for bundled SDK references'). Per the high-coverage baseline, 3 is appropriate; the description adds nothing further.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name ('MediaSFU Flutter :: api.reference.search (reference-search)') without stating a verb or what the search actually covers. It gives no meaningful distinction from the numerous sibling `*.api.reference.search` tools across platforms.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is offered on when to use this tool versus the other platform variants of api.reference.search or versus siblings like sdk.recommend or feature.map. The agent must infer usage entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing. It does not say that a dry-run happens by default (unless apply=true), that files may be written to disk, that existing files are only replaced when overwrite=true, or that projectRoot defaults to the MCP working directory – all critical for a file-generating operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is under-specification rather than conciseness – the single sentence carries no information beyond the identifier, so no sentence earns its place as useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter file-scaffolding tool with no annotations and no output schema, the description explains nothing about what gets generated, where, or with what side effects. An agent cannot safely invoke this tool from the description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the parameter descriptions are genuinely informative (apply=dry-run toggle, overwrite default false, projectRoot default, outputDir default path). The description adds nothing on top, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is 'MediaSFU Flutter :: app.scaffold (scaffold).' – a restatement of the tool name with a namespace prefix. It names neither a verb nor the resource being produced, and gives no way to distinguish it from the ~8 other platform-specific app.scaffold siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as integration.plan or env.preflight. The agent must infer the scaffolding intent entirely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not mention that the call defaults to a dry-run unless 'execute' is set, nor what the preflight inspects or whether it mutates environment state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is under-specification rather than conciseness: a single fragment that conveys no actionable content. Every proposed sentence would need to be added, not trimmed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with zero annotations and no output schema, the description must explain what the preflight validates and what happens on success or failure. None of that is present, leaving an agent unable to call or interpret it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both parameters ('execute' as dry-run toggle, 'projectRoot' path with default) are already fully documented in the schema. The description adds no parameter meaning beyond that, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name restated with a namespace prefix and the tag '(command)'. It does not say what 'env.preflight' actually checks, validates, or returns, so an agent cannot distinguish it from runtime.diagnose or sdk.recommend beyond the name itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative among the many siblings (runtime.diagnose, sdk.recommend, integration.plan). The reader gets no routing signal at all.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries the full burden of behavioral disclosure, and it conveys nothing: no indication of whether the tool is read-only, whether it calls a backend, what it returns, or how it handles unmapped features. For a tool with zero annotation coverage this is a complete gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity reflects under-specification rather than economy; the single line substitutes a tautology for the content an agent needs. Nothing is front-loaded because there is nothing substantive to front-load.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no annotations and no output schema, the description should explain the feature-mapping contract. Instead it says nothing about inputs, behavior, or results, leaving the definition unusable for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds no meaning for 'requestedFeatures' beyond the schema's bare 'Required feature.' placeholder. The agent gets neither the expected string format, naming conventions, nor what happens with unknown or duplicate feature names (although maxItems and uniqueItems constrain shape).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Flutter :: feature.map (mapper)' merely restates the tool name and namespace, adding the platform label that the 'flutter::' prefix already supplies. It never states what is mapped to what or for which inputs, so an agent cannot tell whether it maps requested features to SDK capabilities, config flags, or something else.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not, or alternative selection guidance is present, despite many closely related siblings (integration.plan, sdk.recommend, api.reference.search). The agent is left to infer that 'feature mapping' is a planning-time step with no exclusions or prerequisites stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing about what the tool does at runtime, whether it mutates anything, what authority it needs, or what it returns. 'Remediation' alone is not behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short with no wasted words, but the brevity reflects under-specification rather than disciplined front-loading; the fragment around the namespace prefix adds little. Adequate size, minimal substance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool sitting among ~90 similarly named siblings, the description does not clarify what it returns, what input it expects, or how it differs from runtime.diagnose or the language-specific fix.suggest variants. With no annotations and no output schema, the description should do far more.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema declares zero parameters with 100% (vacuous) coverage, so there is nothing for the description to compensate for. Baseline 4 applies for a no-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Flutter :: fix.suggest (remediation)' is largely a restatement of the tool name plus a one-word gloss. 'Remediation' hints at the domain but gives no specific verb+resource or scope, and it does not distinguish it from siblings like runtime.diagnose or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use, prerequisite, or alternative-tool guidance. The parenthetical 'remediation' weakly implies it follows a diagnosis step, which is the only usage signal, but nothing tells the agent when to pick this over runtime.diagnose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, and it discloses nothing: not whether the tool is read-only, whether it produces a plan artifact, what happens with partial input, or what it returns. 'planner' is a label, not behavioral information.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity reflects under-specification rather than economy. The single fragment carries no actionable content beyond namespacing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter tool with no output schema and no annotations, the description is completely inadequate. An agent cannot know what a 'plan' contains, how inputs shape it, or how it relates to the other planning and scaffold tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33% (appType is vaguely documented, backendMode's enum is bare, requestedFeatures has only 'Required feature'), and the description adds no parameter meaning at all. It fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name plus the tag '(planner)'. It conveys only that this is a planning tool within the MediaSFU Flutter namespace, without stating what it plans or produces. It does not distinguish itself from siblings like flutter::feature.map or shared::integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. With ~14 sibling tools per platform and a parallel shared::integration.plan, an agent has no basis for choosing this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden and delivers none of it. It doesn't say whether this is read-only, whether it generates code or returns text, what it expects from the environment, or what the guide contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single line is short, but that brevity reflects under-specification rather than conciseness. The only content beyond the name is the parenthetical '(guide)', which barely earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a namespaced, cross-platform guide tool with zero annotations and no output schema, the description should at minimum explain what the bootstrap guide covers and what the agent receives. It provides none of that, leaving the agent unable to tell this apart from ten near-identical siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and there is only one optional string parameter, whose role ('Optional topic to locate in the guide') is fully documented in the schema. Per the baseline rule for high coverage, a 3 is appropriate since the description adds nothing beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name ('room.bootstrap') and tacks on '(guide)', which is essentially a tautology. It signals that the output is some kind of guide, but never states what bootstrapping a room entails or what the agent gets back, and it does nothing to distinguish itself from siblings like room.flow.explain or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance whatsoever: no trigger conditions, no prerequisites, no mention of when another tool (e.g. room.lifecycle.plan, integration.plan) is the better choice. The one optional 'query' parameter is the only hint that the output is searchable guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the entire behavioral burden, and it discloses nothing: not whether the call is read-only, what it returns, whether mode changes session state, or what auth/setup it requires. The only behavioral hint lives in the schema's enum, not the description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness — the single fragment merely echoes the name and conveys no actionable content to front-load.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a mode enum, no annotations, no output schema, and a dense sibling cluster, the description provides none of the context an agent needs to invoke it correctly or to prefer it over room.bootstrap or room.lifecycle.plan.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single 'mode' parameter (enum: create/join/both). The description does not explain what these modes select, what the default is when omitted, or how the choice affects the explanation, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name restated with a parenthetical ('flow-explainer'). It hints at explaining a room flow but gives no verb+resource statement of what the tool actually produces, and it does nothing to distinguish itself from siblings such as room.bootstrap or room.lifecycle.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, no mention of when NOT to use it, and no routing among the many room-related siblings (room.bootstrap, room.lifecycle.plan, integration.plan). An agent has nothing to select on beyond the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether the call is read-only, whether it reaches the network or parses local logs, what it returns for a bad errorText, or any limits. A single parenthetical '(diagnostic)' conveys no behavioral trait at all.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity comes from under-specification rather than efficiency — the one line is a name echo with a category label and no useful content. There is nothing to front-load because nothing informative was written.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description is the only place an agent could learn what this diagnostic produces (findings, severity, remediation pointers), and it supplies none of that. For a diagnostic tool taking a free-form error excerpt, this is completely inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%: the single parameter errorText is documented in-schema as a 'Sanitized error or log excerpt' with an 8000-char cap. Per the baseline for high coverage, the description need not add parameter detail, and it indeed adds none.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name and namespace ('MediaSFU Flutter :: runtime.diagnose') plus the bare category tag '(diagnostic)'. It does not state what the diagnostic actually inspects or returns, so an agent cannot distinguish it from siblings like fix.suggest or env.preflight beyond the word 'diagnose'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative among the ~13 sibling tools per platform. The only usage signal is implicit in the name 'diagnose', which is not enough to route an agent between runtime.diagnose and runtime.readiness.diagnose or fix.suggest.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden, and it discloses nothing: not whether the call is read-only, whether it consumes the appType/requestedFeatures as context, or what kind of output ('advisor' implies suggestions) results. No annotations plus no behavioral text is a total gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness — the single fragment is a namespaced title with a vague parenthetical and carries no actionable content to front-load.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-parameter recommendation tool embedded in a large sibling family, with no annotations and no output schema, the description provides none of the context needed to invoke it correctly or to distinguish its result from related recommend/map/plan tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50% and the two parameter descriptions are near-placeholders ('Application type.', 'Required feature.'). The tool description adds zero meaning on top of this, so the agent cannot infer valid values, the relationship between the two params, or whether either is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Flutter :: sdk.recommend (advisor)' effectively restates the tool name and namespace. The only semantic content is the parenthetical 'advisor', which hints at guidance but does not state a verb or what is actually recommended (SDK version, package, integration approach).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no when-not-to-use, and no mention of the sibling alternatives that clearly overlap (flutter::ui.mode.recommend, flutter::feature.map, shared::sdk.recommend). An agent has no basis for choosing this tool over those.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full behavioral burden, and it discloses nothing about read/write character, side effects, permissions, or output. The only content is a name echo.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than earned conciseness. The single fragment conveys no actionable content beyond the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a parameter, no annotations, and no output schema, the description should explain purpose and the backendMode choices. It instead supplies only a title echo, leaving the agent with no basis to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds no meaning for 'backendMode'. The enum values (cloud, self-hosted, local) are somewhat self-explanatory, which keeps this just above the floor, but the description does nothing to explain how the mode affects behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The text is essentially a restatement of the tool name plus the platform prefix, with only the parenthetical '(security-guide)' hinting at intent. There is no verb describing what the tool actually does, so an agent cannot tell from the description alone whether it retrieves a guide, configures a proxy, or lists rooms.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative is mentioned. With ~40 sibling tools available across platforms and shared scopes, some routing guidance (e.g. versus shared::security.proxy.rooms or android::security.proxy.rooms) would be essential, but nothing is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not say whether the call is read-only, whether it returns a recommended mode, what inputs it assumes, or whether it mutates project configuration. '(ui-advisor)' is a label, not a behavioral statement.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity stems from under-specification rather than efficiency. The single fragment is a name-plus-alias with no front-loaded statement of what the tool actually returns or does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with two undocumented enum parameters, no annotations, and no output schema, the description should explain the recommendation it produces and the axes that drive it. It supplies none of this, leaving the agent with effectively no basis for invoking the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description says nothing about 'ownershipLevel' (managed/partial/full) or 'customizationLevel' (low/medium/high). While the enum values are somewhat self-descriptive, the description adds zero meaning about what these dimensions mean or how they influence the recommendation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description merely restates the tool name ('ui.mode.recommend') with a parenthetical tag '(ui-advisor)'. The word 'recommend' does imply an advisory verb, but the resource ('ui mode') is only conveyed by the dotted name itself, and the gloss 'ui-advisor' is a synonym rather than an explanation. It is close to tautology, though not wholly absent of signal.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative routing is provided. A sibling 'ui.overrides.guide' exists and is never mentioned, so an agent cannot tell whether to call this advisor or the overrides guide from the description alone. The only weak signal is the advisory framing implied by 'recommend'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no indication of whether this is read-only or mutating, whether it returns guidance text or applies overrides, or what it changes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single fragment is short, but this is under-specification rather than conciseness — the text exists only to label the tool, so there is no front-loaded useful content to speak of.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No annotations, no output schema, two parameters with an unexplained enum, and a description that provides nothing. For a tool an agent must call correctly with an enum-valued 'focus' argument, this is wholly inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Two parameters with only 50% schema description coverage: 'mode' has a terse schema description and 'focus' has none despite an enum of six values. With low coverage the description is required to compensate, and it adds zero information about either parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name and slug ('ui.overrides.guide (ui-overrides)') plus a platform prefix. It never states what the tool actually does — produce guidance? return override configs? — so an agent cannot tell its behavior apart from siblings like flutter::ui.mode.recommend or flutter::app.scaffold.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, prerequisite, or alternative-mentioned guidance of any kind. The agent is left to guess how this differs from the closely related flutter::ui.mode.recommend tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full burden of behavioral disclosure, and it discloses nothing. There is no statement about read-only nature, result scope, ranking, or limits, even though a search tool's behavior (does it return snippets? full docs? how many hits?) matters for correct invocation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but brevity here comes from omission rather than efficiency. The single sentence is a name-and-alias echo that contributes no information, which is under-specification rather than genuine conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is structurally simple (one required string, no output schema), so the bar is low, but the description still fails it: no platform-vs-shared routing, no note on what is searched or returned. Against zero annotations it does not supply enough for confident invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the lone 'query' parameter is documented in the schema as 'Search terms for bundled SDK references.' The description adds no syntax, phrasing, or scoping advice beyond that, so the baseline 3 for a fully schema-documented parameter set applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name and adds a parenthetical alias '(reference-search)'. It never states in prose that this searches SDK reference documentation, nor does it distinguish kotlin:: from the ~10 sibling api.reference.search variants for other platforms. This is essentially a tautology of the identifier.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is provided. With parallel siblings like shared::api.reference.search and android::api.reference.search, an agent receives no signal about when Kotlin-specific lookup is preferable to the shared variant. Use is only weakly implied by the platform prefix in the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about generation behavior, file writes, idempotency, or that the default is a dry-run. The dry-run/write distinction only surfaces in the schema's parameter text, which is not the description's job to be silent about for a mutation-capable tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity is under-specification rather than conciseness: the single fragment contains no actionable information. There is nothing to front-load because nothing substantive is said.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter code-generation tool with no annotations and no output schema, the description omits what gets generated, where, whether it is safe to run repeatedly, and how it relates to the many sibling planning/preflight tools. An agent has no basis for selecting or invoking it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% — apply, outputDir, overwrite, and projectRoot are each documented in the schema with defaults and constraints. Baseline 3 applies since the description adds no extra semantic value on top of that.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name restated: 'MediaSFU Kotlin :: app.scaffold (scaffold).' It conveys the SDK namespace but no verb or resource explanation — nothing tells the agent that this generates a project scaffold, what kind, or how it differs from siblings like kotlin::integration.plan or kotlin::env.preflight.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-tool guidance at all. The agent must infer from the name alone whether scaffolding precedes or follows env.preflight and integration.plan.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether anything is mutated, not that the default mode is a dry-run, not what the check reports, not whether it requires a valid project. The only behavioral hint ('command') implies side effects without clarifying them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but that brevity comes from under-specification rather than economy of expression. A single fragment that restates the identifier earns no credit for structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-required-parameter environment validation tool with no output schema and no annotations, the description should at minimum state what is checked and what a passing/failing preflight means. The only substantive behavior (dry-run by default) sits in the schema, and the description is silent on return semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Both parameters (execute and projectRoot) are fully documented in the schema with defaults and semantics, so the schema does the heavy lifting. The description adds nothing beyond it, which lands at the baseline for 100% coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name: 'MediaSFU Kotlin :: env.preflight (command).' It adds the namespace and the fact that it is a command, but never says what a preflight check actually does or what it validates. Without opening the schema an agent cannot distinguish it from env.preflight siblings on other platforms or from runtime.diagnose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to run this versus runtime.diagnose, integration.plan, or sdk.recommend, nor any prerequisite or exclusion. The agent is left to infer usage entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full burden of behavioral disclosure, and it says nothing about whether the operation is read-only, what it returns, or whether the mapping is deterministic. An agent has no way to know if calling it mutates anything or what shape the result takes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity comes from under-specification rather than economy: one fragment that repeats the tool identifier. No front-loaded purpose statement earns its place because none exists.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and an undocumented parameter, the description leaves an agent unable to determine inputs, outputs, or side effects. For a mapping/lookup tool in a large family of similarly named siblings, this is inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the sole parameter, and the description adds no information about requestedFeatures beyond its name. The schema's maxItems/uniqueItems constraints provide some structure, but the description does nothing to explain what a 'mapped' feature looks like or how input features relate to output.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description merely restates the tool name with a platform prefix: 'MediaSFU Kotlin :: feature.map (mapper)'. The bare word 'mapper' hints at a lookup/translation operation but never states what is being mapped to what, so it does not distinguish this tool from the sibling feature.map tools on android, flutter, swift, unity, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool, what inputs it expects, or how it differs from alternatives such as sdk.recommend or integration.plan. The only implicit cue is the 'kotlin::' prefix, which an agent must infer from the name rather than the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden. It only implies that the tool suggests fixes, but says nothing about whether it reads or writes, what it returns, what permissions are needed, or any side effects. This is minimal disclosure, only marginally better than nothing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short phrase that is concise but severely under-specified, offering no structure or useful information. Like the 'Process' example, brevity here reflects under-specification rather than effective conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the large suite of sibling tools and the absence of annotations or an output schema, the description is completely inadequate for helping an agent decide when and how to use this tool. It provides no context about its role, output, or relationship to other tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema description coverage is effectively 100% (empty object). Per the rubric, 0 params yields a baseline of 4, as there is no parameter semantics to clarify beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Kotlin :: fix.suggest (remediation).' is essentially a restatement of the tool name with a synonym. It does not specify a concrete verb and resource beyond 'suggest' and 'remediation,' nor does it differentiate this tool from the many sibling tools such as runtime.diagnose or integration.plan. This is tautological rather than informative.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool, what preconditions exist, or what alternatives are available. It provides no context signals or exclusions. This is the minimum 'no guidance' level.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not say whether the tool is read-only or mutating, whether it generates artifacts or side effects, what permissions it needs, or when it validates or errors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loaded, but this is under-specification rather than conciseness. The single fragment carries no actionable information an agent could route on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a planning tool with no annotations, no output schema, and partially undocumented parameters, the description should explain the plan's scope and expected output shape. It supplies none of that, leaving the agent unable to predict what calling it returns or produces.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33%, and the description adds zero parameter context. It doesn't explain what appType should contain, what form a requestedFeature string takes, or how backendMode selection affects the resulting plan; the only support comes from the enum values in the schema itself.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name: 'MediaSFU Kotlin :: integration.plan (planner).' The only added token is 'planner', which hints at producing a plan but does not state what it plans, based on what inputs, or how it differs from siblings like env.preflight, feature.map, or sdk.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given. There is no mention of prerequisites, ordering relative to sibling tools (e.g., before app.scaffold), or conditions under which an agent should call this instead of another planning/analysis tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full behavioral burden and discloses nothing: not whether it is read-only, not what the guide contains, not its format, length, or whether it targets Kotlin-specific SDK usage. Nothing beyond the name is communicated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The phrase is short but that is under-specification rather than conciseness; it carries no front-loaded actionable content. A reader learns only that a guide exists, which the tool name already told them.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a documentation/guide tool with no output schema and no annotations, the description must explain what the guide covers and when to consult it. It says nothing of the kind, leaving the agent unable to judge relevance against a dozen sibling guide-style tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'query' parameter is fully documented in the schema (100% coverage) as an optional topic to locate in the guide. The description adds no syntax, format, or example values, so baseline 3 applies per the high-coverage rule.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name plus the parenthetical '(guide)', restating what the identifier already conveys. It does faintly signal that the tool returns documentation rather than performing the bootstrap itself, but that is the only semantic increment beyond the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, and no routing among the many siblings that could plausibly overlap (room.flow.explain, room.lifecycle.plan, integration.plan, app.scaffold). The agent is left to guess entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden, and it discloses nothing: no indication of whether this is read-only, whether it produces prose, a diagram, or code, or any side effects. Nothing beyond the tool name is communicated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is under-specification rather than conciseness: the single fragment carries no actionable content. There is nothing to front-load because nothing substantive is said.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a parameter, no annotations, no output schema, and an ambiguous purpose, the description is completely inadequate. An agent cannot know what invoking this returns or how it differs from the ~14 sibling tools in the same namespace.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter (mode, enum: create/join/both) with 0% schema description coverage, and the description says nothing about it. The enum values hint at intent but the agent gets no explanation of what 'create', 'join', or 'both' mean in the context of a flow explanation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus a synonym ('flow-explainer'), which is tautological. It never states what is being explained, what a 'room flow' is, or what output the agent would get. It does not distinguish this tool from siblings like room.bootstrap or room.lifecycle.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to, or what alternative to pick among the many sibling room/lifecycle/integration tools. The agent is left to infer everything from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It says nothing about whether a call is read-only or mutating, what it returns, rate limits, or required environment. Only the word 'diagnostic' hints at a read-only analysis, which is thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Very short (a fragment), which is concise, but it is under-specified rather than succinct. The 'MediaSFU Kotlin ::' prefix is just a namespace label and the rest is a name restated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a diagnostic tool with no annotations and no output schema, the description is completely inadequate. It does not convey what kind of diagnosis it performs, what output to expect, or how to act on it, nor how it relates to sibling diagnostic/fix tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single required parameter (errorText) with 100% schema description coverage ('Sanitized error or log excerpt.'). The schema already documents it fully, so the baseline of 3 applies; the description adds no further detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Kotlin :: runtime.diagnose (diagnostic).' essentially restates the tool name and title, adding only a parenthetical synonym 'diagnostic'. It does not state what the tool diagnoses (runtime errors from errorText) or distinguish it from siblings like fix.suggest or env.preflight.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as kotlin::fix.suggest or kotlin::env.preflight. The agent must infer purpose from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether this is a read-only advisory call, what inputs drive the recommendation, or what the response contains. "advisor" is the only hint and it is not elaborated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short, front-loaded line with no wasted words, but the brevity comes from under-specification rather than efficient communication.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that must derive an SDK recommendation from an application type and feature list, with no annotations, no output schema, and only partial parameter documentation, the description is far too thin for an agent to invoke it correctly or interpret the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%, with appType and requestedFeatures documented only by terse one-liners ("Application type.", "Required feature."). The description adds no meaning about accepted values, format, or how the two parameters jointly shape the recommendation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus the word "advisor". While "recommend" suggests suggesting an SDK, it never states what is being recommended, for what purpose, or on what basis, so it does not distinguish this from siblings like ui.mode.recommend or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the many sibling recommend/plan tools (e.g., sdk.recommend exists per platform, plus ui.mode.recommend, integration.plan). No prerequisites, no exclusions, no trigger conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing about read/write nature, permissions, side effects, or output. The single parenthetical adds no behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity reflects under-specification rather than efficient conciseness; it is a name-and-namespace label with a tag, not a front-loaded informative statement. Every word is technically 'spent' but none conveys actionable meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a mode-selecting parameter, no annotations, and no output schema, the description is entirely inadequate. An agent has no information to invoke it correctly beyond guessing from the name.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter backendMode has 0% schema description coverage and an enum (cloud/self-hosted/local), yet the description never mentions it or explains what the modes select. With no schema documentation to fall back on, the description fully fails to compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU Kotlin :: security.proxy.rooms (security-guide)' merely restates the tool name and namespace without a verb or explanation of what the tool actually does. It gives no clue whether this explains proxy setup, lists available rooms, or configures security, so an agent cannot distinguish it from siblings on the basis of the text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance whatsoever on when to use this tool versus alternatives, and no conditions, prerequisites, or exclusions are stated. The '(security-guide)' fragment implies a documentation-style tool but does not tell the agent when to reach for it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden, yet it discloses nothing about behavior: no indication of whether it is read-only, what it recommends from, or how the two inputs shape the recommendation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the brevity is under-specification rather than conciseness; the single string carries no useful front-loaded information beyond the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a recommendation tool with two enum inputs, no annotations, and no output schema, the definition omits everything an agent would need: selection criteria, input meaning, and expected output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and both enums (ownershipLevel, customizationLevel) are undocumented in both schema and description. The description adds no meaning about what these levels control or how they affect the recommendation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The text is essentially a restatement of the tool name ('ui.mode.recommend') plus a parenthetical alias ('ui-advisor'). It implies a recommendation of a UI mode but gives no verb-based statement of what it actually does, no scope, and no distinction from siblings like ui.overrides.guide or sdk.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this tool, what inputs trigger it, or how it relates to the many sibling advisors. An agent has nothing to route on.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not say whether the call is read-only, what it returns, what the 'mode' and 'focus' inputs actually change, or whether any side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness — the single sentence is pure namespace restatement and carries no information. Brevity here costs the agent everything it needs to invoke the tool correctly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with no annotations, no output schema, and an unexplained enum, the description is completely inadequate and omits everything an agent would need to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%: 'mode' has a one-line schema description while 'focus' has an enum but no explanation of what each value means. The description adds no parameter meaning at all, leaving the agent unable to interpret 'focus' values such as 'headless-shell' or 'native-bridge'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name and namespace ('MediaSFU Kotlin :: ui.overrides.guide (ui-overrides)') with no verb or explanation of what the tool actually produces. It hints at a UI-overrides guide but does not say whether it returns documentation, generates code, or validates configuration, and gives no differentiation from the sibling ui.mode.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of the closely related ui.mode.recommend tool or any alternative. An agent has no basis for choosing this tool over its siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. It does not say whether results are ranked, paginated, scoped to bundled SDK docs, or how errors are surfaced. For a no-annotation tool this is a total gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single fragment is terse, but this is under-specification rather than conciseness: there is no sentence that actually earns its place by conveying behavior. Brevity here comes at the cost of all useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one required string, no output schema, no nesting), so the bar is low, but the description still omits what corpus is searched, whether results are scoped to ReactJS vs shared references, and how to use the results. It is inadequate even for a trivial lookup tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with a single well-documented 'query' parameter (maxLength, description), so the schema does the work. The description adds nothing beyond it, but the baseline of 3 applies when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name and namespace ('MediaSFU ReactJS :: api.reference.search'), which is tautological. The word 'search' hints at retrieval, but no verb+resource statement explains what is actually searched or what is returned. The platform qualifier (ReactJS) is the only distinguishing information.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites, and no routing to alternatives such as shared::api.reference.search or the other ReactJS tools. The agent must infer entirely from the name that this is the ReactJS-scoped reference lookup.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not that this generates files, not that it is a dry-run by default, not that it writes to disk when apply is set. All such signals live only in the parameter schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness. The one fragment present duplicates the title/name and earns no informational value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a file-generating mutation tool with no annotations and no output schema, the description should explain the dry-run/write contract and the side effects. The schema covers parameters well, but the description leaves the agent without the context needed to invoke this safely or to pick it over siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so every parameter (apply, outputDir, overwrite, projectRoot) is already fully documented in the schema. The description adds no parameter meaning beyond that, which is the baseline 3 for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name plus its namespace ("MediaSFU ReactJS :: app.scaffold (scaffold)"). It gives no verb+resource explanation of what scaffolding actually does, so an agent cannot distinguish it from the 12 sibling platform variants of app.scaffold beyond the platform prefix.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as reactjs::integration.plan, reactjs::sdk.recommend, or the platform-specific app.scaffold siblings, nor any prerequisite or ordering information.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full disclosure burden and largely fails it. The word "command" vaguely hints at execution, and the schema mentions a dry-run default, but the description never explains whether checks mutate the project, what permissions or network access are needed, or how failures surface. Only the platform scoping is conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but it is under-specified rather than concise: a single tautological fragment that spends its words repeating the tool name and platform rather than front-loading any usable information about behavior or purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, so the description should explain what a preflight returns (pass/fail checks, detected issues, report shape), yet it says nothing. For a diagnostic entry-point tool in a large sibling family, this leaves the agent unable to predict results or know when the call is warranted.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters (execute, projectRoot) are documented in the schema itself, so the description does not need to repeat them. It adds no extra meaning beyond the schema, which is acceptable at baseline when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name restated: "MediaSFU ReactJS :: env.preflight (command)." It adds only the platform qualifier and the word "command"; it never says what preflight actually does (e.g., verifies SDK version, credentials, or project config) or how it differs from siblings like runtime.diagnose or sdk.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given. There is no indication of when a preflight check is required versus when an agent should call shared::env.preflight, reactjs::runtime.diagnose, or reactjs::sdk.recommend, and no mention of prerequisites or ordering in a workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it says nothing: no mutation/read character, no auth requirements, no limits beyond what the schema shows, no output shape. '(mapper)' conveys no behavioral trait an agent could act on.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single line is short but under-specified rather than concise — it front-loads a namespace prefix and a parenthetical that duplicates the tool name, spending its only words on restatement instead of useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, no parameter documentation, and a name-restating description, an agent has nothing to decide how or whether to call this tool. For a mapping operation that presumably returns a mapping result, this is wholly inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description never mentions 'requestedFeatures'. The schema does convey the array shape, a 32-item cap, and uniqueness, so some structure is visible, but the description adds no meaning about what the feature strings are or how they are matched.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name: 'MediaSFU ReactJS :: feature.map (mapper).' Calling it a 'mapper' adds no verb or resource detail beyond the name, and it never explains what 'mapping features' actually accomplishes. It only situates the tool on the ReactJS platform.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to use this tool versus the many siblings (shared::feature.map, other platform feature.map variants, integration.plan, app.scaffold, etc.). The agent is left to infer that this maps requested features to something, with no exclusions or prerequisites stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: not whether it is read-only or mutating, not what context it consumes (the schema is empty), not what it returns, and not any auth or rate-limit constraints. For a zero-input tool whose entire value is what it emits, this is a total gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short but under-specified rather than efficient — it spends its words restating the tool's own name. Nothing is front-loaded beyond the identifier, and the parenthetical '(remediation)' adds no operational detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and an empty input schema, the description must explain what the tool does and how it is meant to be invoked. It instead repeats the name, leaving an agent with no basis for selecting or calling it among the many identically-structured sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and 100% schema description coverage, which is the baseline-4 case. There is nothing parameter-wise for the description to clarify, so no penalty applies beyond the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name plus a parenthetical gloss: 'MediaSFU ReactJS :: fix.suggest (remediation).' It hints that the tool produces fixes/remediation but gives no specific verb+resource statement of what it actually returns or operates on. It does not distinguish itself from siblings like runtime.diagnose or feature.map, which are equally plausible for the same problem space.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use, when-not-to-use, or alternative routing. The single word 'remediation' weakly implies it follows a detected error, but the description never states the trigger condition or how it relates to runtime.diagnose, feature.map, or integration.plan.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the entire behavioral burden, and it discloses nothing: not whether the call is read-only or mutating, whether it costs tokens/time, whether it requires credentials, or what it returns. '(planner)' hints at a planning operation but conveys no behavioral contract.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness - the single fragment spends its words repeating the tool name and its namespace. Nothing is front-loaded because nothing of substance is stated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, no annotations, three under-documented parameters, and a zero-feature description leave an agent with nothing to reason about before calling. For a planner tool in a large multi-platform toolset, this is completely inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 33% (backendMode and requestedFeatures have no descriptions at all), and the description adds zero parameter meaning. With a low coverage schema and no compensating text, an agent cannot tell what backendMode values imply or what shape requestedFeatures entries should take.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a restatement of the namespaced tool name plus the word 'planner' - it never says what gets planned, for what artifact, or what the caller receives. It distinguishes nothing from siblings like feature.map, env.preflight, or app.scaffold, all of which also 'plan' or advise.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no named alternative among the ~100 sibling tools. An agent has no basis for choosing integration.plan over shared::integration.plan, ui.mode.recommend, or sdk.recommend.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether files are written, whether the operation is reversible, what permissions are needed, or what a dry-run versus execute produces. Labeling it a 'command' implies mutation but gives no safety or side-effect detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short but that reflects under-specification rather than tight editing; there is no front-loaded statement of effect or outcome. Nothing beyond the name is communicated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an action-oriented 'bootstrap' command with no annotations and no output schema, the description supplies none of the context an agent needs about effects, environment requirements, or results. It is inadequate for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters (execute, projectRoot) are fully documented in the schema, including the dry-run default. The description adds no parameter meaning beyond that, so a baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the tool name and title: 'MediaSFU ReactJS :: room.bootstrap (command)'. It names a platform and a resource but never states what bootstrapping does (scaffold? generate config? provision a room?), so an agent cannot distinguish its purpose from siblings like app.scaffold or integration.plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative among the many sibling planning/scaffolding tools. The parenthetical '(command)' is the only hint about invocation context, which is far from routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden — and it discloses nothing. It does not say whether the tool is read-only, whether it returns prose vs. code, how large the output is, or whether it requires an existing project context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but this is under-specification rather than conciseness: the single sentence is a title echo with zero informational payload. There is nothing to front-load because nothing substantive is said.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with an opaque name, an unexplained enum parameter, no annotations, and no output schema, the description should do all the work — instead it does none. An agent has no basis for choosing this over the many sibling planning/explanation tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter, 'mode', with a create/join/both enum, and schema description coverage is 0%. The description adds no meaning beyond the raw enum values — it does not explain what 'both' returns or how the modes change the explanation produced.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially the tool name plus a parenthetical alias: 'MediaSFU ReactJS :: room.flow.explain (flow-explainer).' It never states a verb or what is actually explained (room creation flow? join flow? lifecycle sequence?), only that the tool is a 'flow-explainer'. This is tautological naming rather than a purpose statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to invoke this tool, when not to, or how it relates to alternatives such as the sibling room.bootstrap, room.lifecycle.plan, or integration.plan. At best the name weakly implies 'use this to understand room flows,' which is inference, not instruction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing: not whether the call is read-only, whether it transmits error text to a remote service, what a diagnosis result contains, or any limits. The single word 'diagnostic' is not behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single short phrase contains no filler or bloat, but its brevity comes from under-specification rather than economy; there is no front-loaded actionable content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a diagnostic tool with no annotations and no output schema, an agent needs to know what kinds of errors it handles and what the diagnosis returns. The description supplies none of this, leaving the definition functionally incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With one parameter and 100% schema description coverage ('Sanitized error or log excerpt.'), the schema already documents the input and the description adds nothing. The stated baseline of 3 for high schema coverage applies here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description is essentially a restatement of the name: 'reactjs::runtime.diagnose (diagnostic)'. It adds no verb-plus-resource specificity beyond 'diagnostic', and does not say what runtime problems it diagnoses or what it produces, leaving it indistinguishable from siblings like fix.suggest or env.preflight.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative-tool guidance at all. The definition does not mention fix.suggest, env.preflight, or shared::runtime.diagnose, so an agent gets no routing help despite a large sibling set.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about determinism, whether recommendations are advisory only versus actionable, whether it reads project state, or what it returns. A single label '(advisor)' is the only hint and it is unexplained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short line with no padding, but brevity here reflects under-specification rather than conciseness. There is no front-loaded purpose statement an agent can act on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, no required params, and only half the parameters documented, the description would need to explain what a recommendation call does and returns. It supplies none of that, leaving an agent unable to call or interpret this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50% (appType is glossed merely as 'Application type.' and requestedFeatures items as 'Required feature.'), and the description adds no meaning about accepted values, format, or how these inputs shape the recommendation. It neither compensates for the coverage gap nor exploits the little schema text available.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'MediaSFU ReactJS :: sdk.recommend (advisor)' only restates the tool name and namespace with an added parenthetical '(advisor)'. It never says what is being recommended (SDK packages? integration approach? version?) or the recommended output, so it is close to a tautology rather than a specific verb+resource statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative routing guidance. Siblings like integration.plan, feature.map, ui.mode.recommend and the shared::sdk.recommend variant all plausibly overlap, and the description gives no basis for choosing among them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing—no indication of whether the tool produces a plan, reads config, mutates anything, or requires auth. This is a total absence of behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is short, but brevity here reflects under-specification rather than efficient structure—there is no front-loaded statement of purpose or value. Every possible sentence that would earn its place is missing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and an undocumented enum parameter, the definition is wholly inadequate for an agent to invoke the tool correctly. Nothing compensates for the zero-information description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'backendMode' has 0% schema description coverage and an enum of cloud/self-hosted/local, yet the description says nothing about its meaning or impact. The agent gets no help understanding when to pick each mode.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description merely restates the tool name with a parenthetical tag '(security-guide)', offering no verb or resource explanation. An agent cannot tell what 'security.proxy.rooms' actually does or returns; the only hint is that it relates to security guidance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no reference to alternatives such as the sibling 'security.proxy.rooms' variants for other frameworks or shared::room.authority.plan. Usage must be entirely inferred from the opaque name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing: not whether the call is read-only, whether it mutates config, what it returns, or what inputs drive the recommendation. The label 'ui-advisor' is not behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is very short, but this is under-specification rather than conciseness. Nothing is front-loaded because there is no substantive content to front-load.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotations, and two undocumented enum parameters, the description should explain inputs, behavior, and output expectations. It supplies none of this, leaving the agent unable to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Two parameters exist (ownershipLevel, customizationLevel) with 0% schema description coverage and no explanation in the description. The enum values are partly self-describing (managed/partial/full, low/medium/high), but the description adds no meaning about how these levels affect the recommendation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description only restates the tool name plus a parenthetical tag '(ui-advisor)'. It hints that the tool advises on UI mode selection, but gives no verb-resource statement of what it actually does and offers nothing to distinguish it from siblings like reactjs::ui.overrides.guide or reactjs::sdk.recommend.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternative tools. An agent cannot tell when this recommender should be invoked versus ui.overrides.guide or the broader sdk.recommend sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden, and it discloses nothing: not whether this is a read-only informational lookup, whether it mutates state, what it returns, or any prerequisites. For an unannotated tool this is a total gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.