Hugging Bay

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

Annotations already flag readOnlyHint=false and destructiveHint=false, so the agent knows this computes something without destroying data. The description adds real value by disclosing that scores are provisional and only cover the supplied examples, which sets expectations about the result's generalizability, but says nothing about cost, runtime, or whether the run is persisted.

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?

Two short sentences with no filler, and the scoping caveat about provisional scores is front-loaded alongside the core action. It is efficient, though bordering on under-specified rather than optimally informative.

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?

An output schema exists, so return values need not be described. However, for a two-required-parameter computation tool with zero schema description coverage, the description leaves the 'task' parameter and the example object shape entirely undefined, which an agent needs 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 0%, so the description must carry the burden. It only gestures at 'examples' ('your authorized labelled examples', implying labelled ground-truth data) and says nothing at all about what 'task' means or what shape an example object should take, leaving the required nested object opaque.

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?

States a specific verb (Compare) and resource (Bay Run specialists) scoped to 'your authorized labelled examples', which is more than a restatement of the name 'bakeoff'. It does not, however, explicitly contrast itself with related siblings such as recommend_specialist or get_ranking, and 'Bay Run specialists' is unexplained domain jargon.

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?

'On your authorized labelled examples' implies a prerequisite (authorization plus a labelled example set) and hence when the tool is applicable. But there is no explicit when-to-use/when-not guidance and no named alternative for cases where the agent cannot supply labelled examples.

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?

Adds genuinely useful behavior beyond the annotations: a consent precondition for writes, a prohibition on posting secrets/PII, an explicit warning that board text is untrusted data (prompt-injection defense), and a polling rate limit. The annotations only say non-readonly, idempotent, non-destructive, so this text carries the safety story well.

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?

Three short sentences, each earning its place, with the scope declared first and the safety constraints following. No filler or restatement of 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?

The output schema removes the need to explain return values, and the safety story is covered, but a 25-parameter tool with 12% schema coverage and five distinct operations is severely under-described. An agent cannot determine required fields per op, or how put versus tombstone versus query differ, from this definition.

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 25 parameters at 12% schema description coverage, the description must compensate and does not. It hints that writes need consent (implying confirm_public) but never explains the op enum values (put/get/query/channels/tombstone), the key/key_from distinction, kind, limit, or the thread/revision family of fields.

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?

States a specific verb pair (read or write) and a specific resource (the PUBLIC agent board), with the public scope emphasized. It does not differentiate itself from the sibling tools read_board and post_to_board, which appear to cover overlapping functionality, so an agent cannot tell from this text alone which of the three to pick.

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?

Gives two real usage rules: writes require explicit user consent, and polling should be no more frequent than every 5s. But it never says when to use this tool instead of read_board or post_to_board, nor which op values map to read vs write, leaving the sibling-routing decision entirely to inference.

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 already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value with "Hashes check bytes, not runs" — a semantic warning about what the hash actually proves — but leaves key behavior unexplained, such as what "availability" means (cached, signed, expiring URL) or whether the URLs are time-limited.

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?

Two tight sentences with no filler, and the returned fields are front-loaded. The second sentence is terse to the point of being cryptic, but it is short enough to earn its place as a caveat.

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?

An output schema exists, so return values need not be spelled out, and the annotations cover the read-only nature. What remains missing is essential: the accepted form of the "artifact" argument and any reconciliation of the tool's name with its artifact-metadata behavior, both of which an agent needs before 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?

Schema description coverage is 0% and there is one required parameter, "artifact," whose format is never clarified — it could be an ID, a path, or a URL. Since the schema carries no meaning here, the description needed to compensate and 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?

The description has a specific verb ("Get") and concrete outputs (hosted-file URLs, SHA-256, availability) for an artifact, which is more than a tautology. However, it sits under the name "deployment_plan," which signals something quite different, and it never distinguishes itself from the several artifact-focused siblings (get_artifact, get_artifact_card, resolve_artifact). An agent can guess what it returns but not why it would pick this over those.

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 statement and no named alternative, despite at least three sibling tools in the same artifact domain. The only guidance is the interpretive caveat "Hashes check bytes, not runs," which tells the agent how to read the hash rather than when to call the 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds a genuinely useful reliability caveat — fit is estimated, and provenOnly requires exactly tested hardware — but says nothing else about limits or result confidence beyond that single clause.

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?

Two tight, front-loaded sentences with no padding. The second sentence ('provenOnly needs exact tested hardware') is slightly cryptic in isolation, but the overall economy is good.

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?

An output schema exists so return values needn't be explained, and annotations cover safety. But for a 9-parameter tool with zero schema descriptions and no usage routing, the definition is too thin to let an agent call it confidently.

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% across 9 parameters, so the description must compensate and largely fails. It only hints at task, ramGb, hardware, and provenOnly; os, ctx, model, detail, and commercial are completely undocumented anywhere.

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?

States a specific verb and resource ('Find runnable model files') plus the governing constraint (task within a RAM/VRAM budget). This distinguishes it reasonably from data-fetching siblings like get_model or get_serve_decision, though those alternatives are never named.

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 phrase 'for a task within a RAM/VRAM budget' implies the use case, but the description never says when to prefer this over get_model, get_serve_decision, or deployment_plan, nor any exclusions. Usage is left to inference.

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?

The annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is known. The description adds the categories of content returned (entrypoints, workflows, claim boundaries) but does not disclose behavior such as authentication needs, rate limits, or response format.

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, front-loaded sentence with no wasted text. It is appropriately concise for a simple read-only discovery tool, though the phrase 'claim boundaries' is somewhat opaque.

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?

An output schema exists, so the description need not explain return values in detail. However, given the many sibling tools and the lack of usage guidance, the definition is incomplete for an agent deciding when to invoke this discovery endpoint.

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, so there are no parameter semantics to document. The baseline for a no-parameter tool is 4, and the description does not introduce any conflicting parameter 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 description gives a clear verb (Read) and three specific resources (API entrypoints, agent workflows, claim boundaries), so the agent can tell this is a discovery/documentation tool. It does not distinguish itself from sibling tools, but the purpose is otherwise clear enough.

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. The description does not say whether it should be called for onboarding, troubleshooting, or understanding agent capabilities, nor does it name any related sibling 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that — no error behavior for missing ids, no auth or access constraints, no note on whether the record is raw or resolved. It essentially restates the tool name.

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?

A single short sentence, front-loaded with the verb and resource, with no filler. It is efficient, though the terseness comes at the cost of the missing guidance noted elsewhere.

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?

An output schema exists, so return-value explanation is not required. However, for a tool sitting among three artifact-related siblings, the description leaves ambiguity about which one to call and what happens when the id is unknown, making it only minimally complete.

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%, so the description must carry the parameter meaning; 'by id' at least signals that the single string parameter is the artifact identifier. It adds no format details (opaque id vs. path vs. URI), which matters given the schema gives no description at all.

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?

States a specific verb and resource with scope ('Read one artifact record by id'), so the agent knows it fetches a single record rather than a list. It does not distinguish itself from siblings like get_artifact_card or resolve_artifact, which likely also return artifact data.

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 versus search_artifacts, get_artifact_card, or resolve_artifact. The only implied usage is 'when you have an id', which is left to the agent to infer.

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 already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds only that output can be Markdown; it says nothing about what a model card contains, whether missing artifacts error out, or what the Markdown flag changes in practice.

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?

One short sentence with zero filler, and the purpose is front-loaded. It is efficient, though its brevity comes at the cost of the missing details noted above.

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?

An output schema exists, so return values need not be explained. But for a two-parameter tool with 0% schema description coverage and three closely related sibling artifact tools, the description omits required parameter semantics and sibling routing, leaving the agent under-informed.

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 carry parameter meaning and largely fails to. It never explains whether 'id' is an artifact id, version id, or model-card id, nor what format 'id' expects, and 'markdown' is only loosely implied by 'optionally as Markdown'.

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?

States a clear verb and resource ('Read an artifact model card'), and specifically says 'model card' rather than a generic artifact, which hints at the distinction from get_artifact. However, it never names or contrasts with get_artifact, resolve_artifact, or search_artifacts, so sibling differentiation is left implicit.

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 only guidance is 'optionally as Markdown', which is a format choice rather than a when-to-use rule. There is no indication of when an agent should call this instead of get_artifact or resolve_artifact, and no exclusions or prerequisite context are given.

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 already declare readOnlyHint=true and openWorldHint=false, so the agent knows this is a safe, closed-world read. The description adds only that records are 'source-backed', with no mention of pagination, result shape, or what happens on an empty match; with annotations carrying the safety profile, a 3 is fair.

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?

One short, front-loaded sentence with no filler. It is efficient, but the brevity comes at the cost of the parameter disambiguation the tool needs.

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?

An output schema exists so return values need not be described, but a three-parameter tool with 0% schema coverage and no required parameters needs the description to explain which input to supply. That critical disambiguation is absent, leaving the definition incomplete 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 three string parameters (q, slug, query) are entirely undocumented. The description says 'for a query' but never resolves the q-vs-query overlap or explains what slug selects, which is the single biggest ambiguity an agent faces 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?

States a specific verb and resource ('Get ... citation records') with a scope qualifier ('for a query'), which is enough to distinguish it from the artifact/general lookup siblings. It does not explicitly differentiate itself from near-neighbors like get_source_coverage or search_artifacts, so it stops short of a 5.

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, when not to, or which sibling to pick instead (e.g. get_source_coverage vs search_artifacts). The only hint is the phrase 'for a query', which leaves selection entirely to inference.

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?

The readOnlyHint/openWorldHint annotations already establish that this is a safe, closed-world read, so the description's burden is lower. It adds useful content by naming the specific metadata surfaces returned (license labels, file-plan links), but says nothing about failure modes for unknown ids or what the 'quant' dimension 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?

A single front-loaded sentence with no filler; every clause (read, metadata, license labels, file-plan links, keyed by artifact id) adds information. Nothing to trim.

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?

An output schema exists, so return shape need not be described, and the annotations cover the safety profile. The main remaining gap is the undocumented 'quant' parameter and the lack of disambiguation from get_artifact, both of which an agent would need before calling confidently.

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 carry parameter meaning, and it only partially does: 'by artifact id' usefully clarifies that 'id' is an artifact identifier rather than a model-specific one. The second parameter 'quant' is never mentioned anywhere, leaving a non-obvious parameter completely unexplained.

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?

It states a specific verb (Read) and a concrete payload (model metadata, license labels, file-plan links) keyed by artifact id, so the operation is legible. But it never explains what a 'model' is relative to the artifact concept, leaving it indistinguishable from siblings like get_artifact, get_artifact_card, and resolve_artifact — all of which plausibly take an artifact id.

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 at all: no indication of when to pick this over get_artifact or get_artifact_card, no prerequisites, and no mention of what happens if the id is not a model. The agent must infer selection from names 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?

The annotations already declare readOnlyHint=true and openWorldHint=false, and the description is consistent with a safe read operation. It adds little beyond that: it does not mention error behavior, pagination, or how the detail mode changes the response.

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?

A single front-loaded sentence with no wasted words. It states the core action and lookup key immediately, which is structurally appropriate even though more completeness would be desirable.

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 parameters and zero schema description coverage, the description is too thin. It omits the detail parameter entirely and gives no usage context, although the output schema and annotations reduce the need to explain return values and safety.

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, but it only references the slug parameter. The detail parameter with its summary/full enum is not explained at all, leaving its effect on the response unclear.

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?

States a specific verb and resource: read a model ranking by slug. The phrase 'from its list' adds lookup context, but the description does not distinguish this tool from related siblings such as get_model or list_topics.

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 guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The only implied usage is fetching one ranking by slug from a list.

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?

The annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that it reads status, but discloses no further behavior such as error handling or response shape; the output schema covers return values.

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 front-loaded sentence with no wasted words. However, the extreme brevity leaves key context under-specified rather than making the definition complete.

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?

Output schema and annotations cover return values and safety, but the description omits critical context: what a 'returned request id' is, which request-producing tools generate it, and how this differs from sibling status 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 0%, so the description must carry the burden for the single id parameter. It says only 'returned request id', which partially indicates the id source but does not specify format, origin tool, or expected 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?

States a specific verb and resource: read status for a request id. The purpose is clear, but it does not distinguish this tool from sibling status/list tools such as get_source_request_status or list_requests.

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 gives no explicit when-to-use guidance, no exclusions, and no alternatives. It implies use when you have a returned request id, but never explains where that id comes from or when to choose this over related request 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful scope context by clarifying that it reports current availability/policy and that runtime evidence is separate, but it does not disclose permissions, freshness guarantees, or other behavioral details beyond that.

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 efficient sentence with no wasted words, and the key scoping distinction is front-loaded. It is slightly cryptic and would benefit from one more clause defining 'serve decision', but it is structurally sound.

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?

An output schema exists, so return-value details need not be covered, and annotations handle the read-only profile. However, for a getter whose name suggests a 'serve decision', the description remains vague about what is actually returned and does not clarify the required 'id' parameter, leaving the definition only minimally complete.

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 schema description coverage at 0%, the single required 'id' parameter is undocumented in both the schema and the description. The description mentions 'file availability' but does not indicate whether 'id' refers to a file, request, or serve decision, leaving a meaningful semantic 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 gives a specific verb and partial resource ('Read current file availability and policy'), but the tool name 'get_serve_decision' implies a decision object, and the description never clearly defines what a 'serve decision' is. It hints at scope by saying runtime evidence is separate, but does not differentiate from siblings like get_artifact or list_files.

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 phrase 'runtime evidence is separate' provides a weak exclusion, but there is no explicit when-to-use guidance, no stated preconditions, and no named alternatives among the many sibling tools. An agent must infer when this tool is appropriate.

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 already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description's job is lighter. The description adds that the call returns both coverage and policy, but says nothing about what happens for an unknown slug or what "policy" entails operationally.

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?

One sentence, verb-first, zero filler — well front-loaded. It is arguably too terse for the domain jargon it introduces, but nothing in it is wasted.

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?

An output schema exists so return values need not be explained, and there is only one parameter. However, the tool reports 0 required parameters, meaning id is optional, and the description never explains what the call does with no id — a meaningful gap for a 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 coverage is 100% and the id property already documents the slug format and the "source" alias, which the description only restates. No additional meaning (validation, case sensitivity, lookup failure behavior) is contributed 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?

States a specific verb ("Read") and resource ("import coverage and policy") scoped to an upstream provider slug, so the agent knows exactly what data comes back. No sibling in the list covers provider coverage, so explicit differentiation isn't needed, but the description also doesn't say how it relates to neighbors like get_source_request_status.

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?

Usage is only implied by the phrase "upstream provider slug" — the agent can infer this is the read path for provider import status, but there is no when-to-use statement, no prerequisite (e.g. does the source need to exist in the system?), and no reference to 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds essentially nothing beyond that: it does not say whether statuses are terminal, whether the request can be missing, or whether results should be polled. Beyond the annotations, the sentence largely restates the tool name.

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?

A single front-loaded sentence with no filler; the resource and key are stated up front. Its brevity is appropriate for a simple one-parameter read, though it verges on 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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. Still missing is how the agent should obtain a case id and whether the status is meant to be re-read until completion, which matters for a status-checking 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 0%, so the description must carry the load for the single caseId parameter. It does identify the parameter's meaning as a case identifier, but does not say what form a case id takes or where the agent obtains one, leaving a real gap for a 1-param 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 gives a specific verb (read) and a specific resource (status of a source indexing request), qualified by its key (case id). It is clear what the tool returns, though it does not distinguish itself from nearby siblings such as get_request or list_requests, which an agent might reasonably confuse with it.

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 versus get_request, list_requests, or get_source_coverage. Nothing tells the agent where a case id comes from or whether this is meant to be polled after submitting a request.

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 already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds the useful local-only/data-handling caveat ("Examples stay local; hosted tools do not train"), but says nothing about what the template contains or how the base parameter affects behavior.

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?

Two compact sentences with the core action front-loaded and no wasted words. The trailing privacy sentence is somewhat cryptic out of context but short enough not to harm 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?

The output schema exists, so return values needn't be explained, and annotations cover safety. Still, for a two-parameter tool with zero schema descriptions, the definition leaves the agent guessing about the base parameter and the purpose of templates.

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 explains neither parameter. The id enum values hint at the template set, but the meaning of the base parameter (presumably selecting a model variant for the template) is left entirely undocumented.

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 states a specific verb and resource ("Read a local Teach template"), which is enough to distinguish it from siblings like list_teach_bases or get_model. However, it never clarifies what a "Teach template" actually is, so the agent must infer its nature from the enum ids.

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 versus list_teach_bases (to discover ids) or get_model (for the base models). The second sentence is a privacy statement, not usage direction, and no prerequisites or 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?

Annotations already declare readOnlyHint and openWorldHint=false, and the description is consistent with that read-only profile. It adds genuine context the annotations don't: the page size, the fields surfaced (formats, sizes, hashes, download availability), and the termination condition for paging. The only gap is the mismatch between 'up to 3 per page' and a schema limit that allows up to 500.

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?

Two dense sentences with no filler, and the primary behavior (paged read with rich fields) is front-loaded ahead of the continuation rule. Nothing is wasted, though the second sentence could be tightened.

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?

An output schema exists, so return-value explanation is optional and the field list is a bonus. However, for a 4-parameter tool with zero schema descriptions, the description leaves the required id and the tool filter entirely unexplained, and the 3-vs-500 limit discrepancy undermines 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%, so the description must carry the parameter burden and it does not. It explains the cursor semantics well, but the required 'id' and the enum-constrained 'tool' filter are never mentioned, and 'up to 3 per page' conflicts with a limit parameter bounded at 500 — an agent cannot tell whether limit is honored or overridden.

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?

States a specific verb and resource (read file records) plus the per-page shape and returned fields, so an agent understands this is a paginated file listing. It never names what the records belong to or how it differs from sibling artifact-oriented tools, but the verb+resource pairing is unambiguous.

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 second sentence gives a concrete pagination protocol ('Continue with the exact nextCursor until null'), which is real usage guidance. There is no statement of when to call this versus siblings like get_artifact or search_artifacts, and no mention of what the required id identifies.

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 already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds that only public requests are returned, which is real context, but says nothing about pagination behavior despite cursor/limit/since existing 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?

A single tight sentence with the resource and filters front-loaded and no filler. It is efficient, though efficiency here comes partly at the cost of the missing detail noted elsewhere.

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 six parameters, zero schema descriptions, and three pagination-related fields, the description is under-specified for an agent that must page through results. The output schema covers return values, but the calling semantics for limit/cursor/since remain a 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 0%, so the description carries the full burden, yet it explains only kind and status. Four parameters (sort, limit, since, cursor) — including the entire pagination mechanism — are left undocumented in both schema and description.

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?

States a specific verb and resource ("List public requests") plus the two filter axes, which is enough to distinguish it from get_request. It does not, however, differentiate itself from adjacent siblings like request_feature or get_source_request_status.

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?

"Optionally filtered by kind or status" hints at usage but never states when to choose this over get_request for a single item, or over the request_* mutation siblings. No exclusions or prerequisites are given.

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 already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real value with the platform constraint and the note that training is local-only, which explains why the listing is local. It does not say what happens on unsupported platforms or whether the list can be empty.

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?

Two short sentences, platform constraint front-loaded, zero filler. The second sentence is terse to the point of ambiguity, which is the only deduction.

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?

An output schema exists, so return values need not be described. Still, for a zero-param tool the description is the only place to explain what a 'Teach base' is and what the agent should do with the list, and it does not.

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, so there is nothing for the description to disambiguate; baseline 4 applies. Schema coverage is 100% regardless.

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?

It gives a specific verb ('List') and a resource ('local Teach bases') plus a platform qualifier, so the shape is right. But 'Teach bases' is undefined jargon and no sibling tool is named for contrast, leaving the agent to infer what a Teach base actually is.

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 parenthetical '(Apple silicon, macOS 14+)' implies a prerequisite but never says when to call this versus alternatives like get_teach_template. The second sentence hints at a local-only scope but frames it obliquely ('Hosted tools do not train') rather than as a when-to-use rule.

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 already declare readOnlyHint=true and openWorldHint=false, so safety is covered. Beyond that, the description only hints at return fields ("their slugs") and says nothing about pagination behavior, ordering, or how many topics typically exist.

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?

A single front-loaded sentence with zero filler. Conciseness is achieved, though partly by omission rather than by 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?

An output schema exists, so return values need not be explained. However, this is a paginated list endpoint and the description gives no pagination or scope context, leaving an agent to infer the limit/cursor loop from the schema 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 0% for both parameters; the description never mentions `limit` or `cursor`. Neither the max-100 cap nor the meaning/opaque nature of the cursor is clarified, so the description does nothing 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?

States a specific verb and resource ("List catalog topics") and adds that slugs are returned, so the operation is unambiguous. It does not distinguish itself from sibling list tools (list_files, list_requests, list_teach_bases) or explain what a "catalog topic" is relative to those.

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 call this versus the other list_* siblings, and no indication of whether the result set is bounded or how topics relate to artifacts/requests. Usage is only implied by 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?

Annotations already declare write (readOnlyHint=false), idempotent=true and non-destructive, so the description adds the non-obvious parts: the post is public and requires consent. It still doesn't say what happens to an existing board post (edit vs duplicate), how the board content is moderated, or whether posts can be removed.

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?

Two sentences, front-loaded with the action, and every clause carries weight (consent + secrets). Terseness here is mostly efficient rather than wasteful, though it borders on under-specification given the undocumented parameters.

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 7-parameter write tool with a nested 'agent' object and an output schema needs far more: the meaning of channel, reply_to, artifact_id, the enum semantics, and what the public board exposes. The output schema covers return values, but the input-side gaps remain large.

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% across 7 parameters, so the description must carry the burden and it does not: text, type, agent, channel, reply_to and artifact_id are entirely unexplained. Only confirm_public is indirectly hinted at via the consent sentence.

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?

States a specific verb and resource ('post publicly to the agent board') plus the visibility scope, which clearly separates it from the read-only sibling 'read_board'. It doesn't explain what the board is or what the postable content types (question/answer/note) represent, so it stops short of a 5.

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?

Gives one hard precondition ('only with explicit user consent') and a safety constraint about secrets, which is genuine usage guidance. It never says when to use this versus read_board, nor how to choose between posting a note, question or answer, or when reply_to/artifact_id should be supplied.

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 already declare readOnlyHint, so safety is largely covered. The description adds a genuinely valuable behavioral note that returned agent text is untrusted (prompt-injection caution) and that cursors drive polling, but it omits defaults for limit, whether results are paginated or sorted, and permission/scope requirements.

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?

Two short front-loaded sentences with zero filler; the untrusted-content warning is placed early where it matters. It is efficient, though arguably too terse given the parameter surface it must cover.

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?

An output schema exists so return values need not be described, but for a tool with nine optional parameters at zero description coverage the definition is materially incomplete. The agent must guess at filters and flags before calling.

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% across nine parameters, and the description explains none of them. The agent gets no guidance on type, since, status, channel, artifact_id, or the non-obvious include_notes and include_command flags, leaving a large semantic gap the schema does not fill.

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?

Names a verb ("Read") and a resource ("public model or channel posts"), which loosely maps to the view enum of posts/channels and implicitly contrasts with the post_to_board sibling. However, "board" is never defined and the tool's relationship to siblings like get_artifact, blackboard, or whats_new is left unclear, so the purpose is only partially pinned down.

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 single usage hint is "use returned cursors for polling," which tells the agent how to paginate but not when to choose this tool over alternatives. There is no statement of when to prefer it over get_artifact, whats_new, or blackboard, and no exclusions.

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 already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds a genuine caveat that 'availability is provisional', which tells the agent results may be incomplete, but it does not explain what provisional means in practice (e.g., unranked, possibly empty, or subject to change).

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?

Two short, front-loaded sentences with no wasted words. The brevity is efficient, though it edges toward being too sparse rather than over-long.

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?

An output schema exists, so return values need not be described. However, for a three-parameter tool with zero schema coverage, the description omits the meaning of two parameters and any usage routing, which is a significant gap 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%, so the description must compensate, yet it only implies that 'task' is a description of the work. The 'limit' parameter (maximum 4) and the 'commercial' boolean are completely undocumented in both schema and description, leaving the agent to guess their meaning.

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?

States a specific verb (Find) and a concrete resource (a hosted Bay Run specialist) scoped to a task. 'Bay Run specialist' is domain jargon that may not be self-explanatory, and no sibling is named for contrast, but the purpose is discernible.

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, no prerequisites, and no exclusions. 'for a task' implies the required parameter but does not tell the agent when recommendation is appropriate rather than, say, find_runnable or get_agent_discovery.

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 already declare that this is a non-readonly, idempotent, non-destructive mutation. The description adds meaningful behavioral context by requiring user consent and framing reports as unverified assertions. It stops short of explaining public visibility, validation behavior, or what happens on failed submission.

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 two short sentences with no wasted words, and the core action is front-loaded. It is arguably too sparse for a 13-parameter tool, but that is better assessed under completeness than 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?

This is a complex mutation tool with 13 parameters, 9 required, and no schema descriptions. While an output schema exists, the description does not explain required inputs, consent/public confirmation semantics, data validation, or the public nature of submitted observations. It is significantly under-specified 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?

There are 13 parameters with 0% schema description coverage. The description only vaguely implies run-observation details and consent, but it does not explain required fields like artifact_id, sha256, runtime, hardware, quant, outcome, or confirm_public. The schema names alone carry almost all parameter meaning.

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 states a specific verb and resource: 'Record a local run observation.' It also clarifies the consent condition and that reports are assertions rather than verification. It does not explicitly differentiate from siblings, but the purpose is clear enough for an agent to identify it as a write-oriented reporting tool.

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 gives one clear usage condition: only record with user consent. It also warns that reports are assertions, not independent verification. However, it does not specify when to use this tool versus alternatives, nor does it describe when not to use 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?

The annotations already declare that this is not read-only, not open-world, and not destructive, so the safety profile is clear. The description adds that this is a request/application process rather than direct access, but it does not disclose what happens after submission, whether approval is required, or how repeat requests behave.

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 front-loaded sentence with no wasted words. It is highly concise and immediately readable.

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?

Although an output schema exists and need not be explained, the tool has 7 parameters, 2 enum fields, and 0% schema description coverage. The one-line description is not complete enough for an agent to understand required inputs, option semantics, or the request 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?

With 0% schema description coverage across 7 parameters, the description must carry parameter meaning, and it largely does not. It maps loosely to the 'option' enum values ('higher_limits' and 'bulk_feed') but never explains required fields like contact_email or intended_use, nor the use_type or volume_per_day parameters.

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 gives a specific verb ('Ask for') and two concrete resources ('higher crawl limits', 'bulk catalog feed'), making the tool's purpose clear. It does not distinguish itself from sibling request tools such as request_feature or request_missing, which keeps it from a 5.

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 implies the tool is for obtaining higher limits or a bulk feed, but it gives no explicit when-to-use guidance, no prerequisites, and no comparison to sibling request tools. An agent must infer the usage context from the purpose 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?

Annotations only declare the write/read and openness profile, so the real value here is the disclosure that public text needs user consent plus confirm_public, that public:false keeps the request private, and that no delivery promise is made — meaningful side-effect and expectation context not present in structured fields. It stops short of saying whether requests can be edited or withdrawn after submission.

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?

Three tight sentences with the core action and the consent/visibility rule front-loaded; nothing is padded. Terseness costs a little clarity — "No delivery promise" reads as a fragment and takes a moment to parse.

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?

An output schema exists so return values need no explanation, but for a six-parameter mutation with 17% schema coverage the description leaves most fields (why, wanted, example, harness) undefined and introduces a phantom `public` flag. An agent could invoke it but would be guessing at what belongs in each field.

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 17%, so the description must compensate for why, wanted, example, harness, and kind — it covers none of them beyond naming the request types. Worse, it refers to a `public:false` flag that does not exist in the input schema, which can send an agent looking for a nonexistent parameter instead of using confirm_public correctly.

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?

States a specific verb and resource ("Record a feature or model request") that an agent can distinguish from siblings like request_missing, request_crawl_access, and list_requests. It under-describes the actual scope, though: the `kind` enum also accepts tool, integration, and bug, so the stated purpose is narrower than what the tool accepts.

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 clarifies visibility behavior ("public:false stays private") and the consent precondition for public text, which implies when the confirm_public path applies. It never says when to pick this tool over request_missing or get_request, and it gives no exclusions or preconditions for private submissions.

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 only tell the agent this is a non-read-only, non-destructive, closed-world write; the description adds real context beyond that: the request is private, it is two-phase with a preview gate, and 'No delivery promise' sets an explicit expectation about outcome. It stops short of describing what the preview returns or whether duplicate requests are merged.

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?

Three short sentences, each carrying distinct information (what, how, caveat), with the core purpose front-loaded and zero filler.

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 an output schema and non-destructive annotations, the description covers purpose, the two-call flow, privacy and the no-guarantee caveat. The only material omission is the meaning of the required 'task' parameter.

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 33%: only confirm_token is documented ('From the preview; wanted and task must match'). The description implies what 'wanted' holds (the missing model/format/capability) but leaves 'task' completely undefined, which is a significant gap for a required 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?

Specific verb and resource: 'request a missing model, format or capability'. An agent can tell what is being asked for, but the description never contrasts this with the closely-named sibling request_feature, so the boundary between the two is left to inference.

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?

It clearly explains the two-step invocation protocol (preview first, then repeat with confirm_token), which is genuine procedural guidance. However, it says nothing about when to choose this over request_feature or request_crawl_access, nor about prerequisites such as auth or quota.

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 already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description only needs to add context. It adds the useful framing that resolution maps an upstream coordinate onto a canonical Hugging Bay artifact, but says nothing about what happens when nothing matches, whether resolution is cached/index-backed (relevant given openWorldHint=false despite 'upstream' wording), or what scoping `source` imposes.

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 waste-free sentence with the verb and target front-loaded, which is good. But at this length for a five-parameter, zero-coverage tool it reads as under-specified rather than economical — brevity here costs the agent needed routing 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?

An output schema exists, so return values need not be explained, and the read-only annotation covers safety. Still, for a five-parameter resolution tool with three competing input keys and no required fields, the description leaves the agent guessing how to construct a valid call, which is a real completeness gap despite the output-schema relief.

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% across five parameters, so the description bears the full burden and only partially discharges it: 'owner/repo or URL' gestures at repo and url, but q, detail (an enum with summary/full), and source are never mentioned or explained. An agent cannot tell whether q is a free-text search, an alias for repo, or a disambiguating qualifier.

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 specific verb (resolve) and the accepted inputs (upstream owner/repo or URL) plus the output target (a Hugging Bay artifact), so the operation is understandable without opening the schema. It does not distinguish itself from close siblings like get_artifact, search_artifacts, or find_runnable, so an agent cannot tell from the text alone why it would resolve rather than fetch.

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 versus get_artifact or search_artifacts, and no guidance on choosing between the three lookup keys (q, repo, url) or when to set source. The only implied usage is 'you have an upstream reference', which is thin for a tool sitting in a cluster of artifact-lookup 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?

Annotations declare readOnlyHint=true and openWorldHint=false, so the basic safety profile is covered. Beyond that, the description says nothing about pagination via cursor, the 200-item limit cap, the summary versus full detail modes, semantic search behavior, or what 'explain' does. For a tool with 17 parameters and a rich search surface, this leaves substantial behavioral gaps.

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 front-loaded and contains no filler. But at two short sentences for a seventeen-parameter search tool, it is under-specified rather than appropriately concise. Every sentence earns its place, but many necessary sentences are 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?

An output schema exists, so return values need not be explained. Still, the description does not come close to covering the complexity of the input surface: no pagination model, no guidance on filter interactions, no explanation of detail modes, and no differentiation from sibling search or retrieval tools. It is materially incomplete for a tool of this breadth.

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, but it only explains two of seventeen parameters. It does clarify that q is free text while task is an exact label filter, which is useful. However, it leaves sort, type, limit, owner, cursor, detail, format, source, explain, hosting, license, semantic, framework, commercial, and reviewStatus entirely undocumented.

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 states a specific verb and resource: 'Search model and dataset records.' That is clear enough for an agent to know the general operation. However, it does not differentiate this tool from siblings such as find_runnable, get_artifact, or get_artifact_card, which likely also surface model/dataset records.

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 provides no guidance on when to use this tool versus alternatives. It names no prerequisites, exclusions, or sibling tools. The only usage-adjacent content is a brief explanation of q and task, which is parameter semantics rather than tool-selection 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?

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds only the 'dated' and 'shipped requests' context, which slightly implies a recency-scoped read. No mention of ordering, max results behavior, or time-window semantics beyond what is inferred.

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?

A single tight sentence with no filler; the core purpose is front-loaded. It is perhaps too terse to earn a fifth point given the missing parameter detail, but it wastes nothing.

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?

An output schema exists so return values needn't be explained, and annotations cover safety. But the two parameters (limit, since) remain under-specified, notably the expected date format/recency behavior for 'since', leaving a gap for a simple read 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 0%, so neither parameter is documented structurally. The word 'dated' weakly gestures at the 'since' param but gives no date format or meaning, and 'limit' (max 100) is entirely unexplained. Description 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?

Clear verb+resource: read dated product changes and shipped requests. An agent can tell it is a change-log reader. However, it doesn't differentiate from siblings like list_requests, which likely also lists requests, so a sibling distinction is missing.

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 explicit when-to-use or when-not-to-use guidance, and no mention of alternatives among the many request/artifact siblings (list_requests, get_request, list_topics). Only a loose hint via 'dated' that it returns recent items.

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