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

The annotations declare readOnlyHint=false, and the description partially explains why by noting a report may be written when 'export' is supplied, which is a small useful addition. However, it never states what is otherwise mutated, what permissions are needed, or what the default non-export behavior does, leaving the non-read-only nature largely 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?

At two short sentences it is tight and front-loaded, but the opening phrase is dense jargon of unclear value, and the second sentence is the only operationally useful part. It is brief without being 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?

For a three-parameter tool with no output schema and only 33% schema coverage, the description should compensate by explaining the inventory concept, the trace/root_spec behavior, and the return/artifact shape. Instead it leaves the core workflow opaque, so an agent lacks what it needs to invoke this 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 33%: 'export' is documented in the schema and the description adds that it triggers writing a JSON report. But 'trace' and 'root_spec' (both string with defaults) receive no explanation in either the schema or the description, so meaning is missing for two of three 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 is a noun phrase ('Deterministic, outside-in Black-Box Contract inventory') rather than a clear verb+resource, so an agent cannot confidently tell what action is performed or what artifact is produced. It also does nothing to distinguish this tool from siblings like inspect, validate, trace_create, or capabilities.

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 the many siblings, nor any prerequisites or exclusions. The only conditional mentioned ('May write a report if export is given') describes a side effect, not 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?

The readOnlyHint=true annotation already establishes this is a safe, side-effect-free read, so the description's added detail about what gets reported (version, standards, commands, integrations) is modest incremental value. It does not mention any cost, auth requirement, or whether the payload is large/static, but for a zero-param read-only call that is acceptable.

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, and the enumeration of reported content is packed efficiently into the verb phrase.

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-param, read-only, no-output-schema tool, the description names the categories of information returned, which is what the agent needs to decide to call it. It could be slightly stronger by stating this is the entry-point call, but it is essentially 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?

The tool takes zero parameters, so there are no parameter semantics to explain; the baseline for a parameterless tool is 4. Nothing in the description misleads about inputs.

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 (Report) and enumerates the resources returned: tool version, supported standards, commands, and available integrations. An agent can tell this is a self-descriptive introspection tool, though it never contrasts itself with potentially overlapping siblings like inspect or blackbox.

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 the sibling introspection tools (inspect, blackbox), and no prerequisites or exclusions are stated. The agent must infer that this is a discovery/version call.

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?

Only readOnlyHint=false is provided, so the description must carry the behavior burden for a write operation. It says nothing about whether existing files are overwritten, what `force` does, or where output lands relative to the default 'SPEC.md'. The agent is left guessing about the destructive potential of the call.

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 core intent comes first. It is efficient, though arguably too terse given how much else needs explaining.

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 mutation tool with four undocumented parameters, no output schema, and only a readOnlyHint=false annotation, this one-line description is insufficient. An agent cannot confidently predict file paths, overwrite behavior, or how `features` shapes the generated SPEC.

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 all four parameters rely on the description, which only alludes to the `profile` enum ('core or core+optional profile'). The `force`, `output`, and especially `features` parameters receive no explanation of their effect or accepted values.

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 (Create) and resource (SPEC.md) plus the scope nuance 'smallest useful starting' with a core/core+optional profile. It doesn't name or differentiate from any sibling tool, but the sibling list (validate, inspect, blackbox, trace_create...) contains no other SPEC-creation tool, so the intent is still 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?

There is no guidance on when to run this versus validate/inspect, no prerequisites, and no statement about what happens if SPEC.md already exists. The presence of a `force` parameter hints at overwrite semantics, but the description never addresses 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?

Annotations already declare readOnlyHint=true, and the description's 'Read-only' only echoes that. It adds no new behavioral context such as what the report contains, whether it is expensive to run, or how the profile/cognitive modes affect output. Nothing beyond the annotation is disclosed.

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, but brevity here reflects under-specification rather than efficiency; the lead statement conveys almost no actionable information. There is no wasted sentence because there is barely a sentence.

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 tool with no output schema, no documented parameters, and ambiguous enum modes, the description is far too thin. An agent cannot determine what the tool returns or how the trace/profile/cognitive settings change behavior.

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 four parameters, including two enums (profile, cognitive) and a trace toggle whose semantics are entirely opaque. The description provides no clarification of any parameter, leaving their meaning undocumented everywhere.

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 says it produces a 'quality/measurement report' but never states what is being inspected or measured, so the resource is unspecified. It also does not distinguish 'inspect' from plausible-report siblings like validate or blackbox. This is closer to a restatement of the tool name 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 guidance, no prerequisites, and no mention of how this differs from validate, validate_pair, or blackbox, which are the obvious alternatives for a quality-report tool. An agent is left to guess which inspection tool to call.

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 annotation already covers the safety profile, and the description adds a critical behavioral fact beyond it: this tool is a non-functional stub that always errors. That single detail reliably prevents wasted invocations.

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 failure disclosure is placed immediately after the purpose so an agent sees it before deciding to call.

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 no-param, no-output stub, the description conveys everything an agent needs to make the call/no-call decision: what it is and that it is guaranteed to fail. Only the absence of a recommended alternative keeps it from a 5.

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?

Zero parameters, so there is nothing for the description to document; the baseline for a 0-param 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 expands the name ('propose_patch' → 'Request a Proposed Patch') and, more usefully, states that it is not implemented. However, it does not differentiate this tool from the sibling suite (create, validate, inspect, etc.) or explain what a Proposed Patch 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?

It gives an explicit 'when not to use' signal — 'always returns an error' tells the agent to avoid this call entirely, which is the most important routing guidance for a stub. It stops short of naming alternatives (create, validate) that might substitute.

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=false annotation already conveys that this is a mutating operation, so the description's 'Generate' adds little. It says nothing about overwrite behavior when TRACE.md exists, what the 'force' flag changes, permission requirements, or side effects on the specification set.

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 efficient sentence with no filler, well front-loaded with the verb. It is concise to a fault, omitting any guidance rather than being bloated.

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, one annotation, and four completely undocumented parameters, the description leaves the agent without enough to call this correctly. It should at minimum explain force/output/enable_optional behavior and the write implications of regenerating TRACE.md.

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?

All four parameters (force, output, root_spec, enable_optional) have 0% schema description coverage, and the description explains none of them. The phrase 'resolved Specification Set' loosely gestures at root_spec but gives no format or semantics for output paths, force, or optional sections.

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 ('Generate') and resource ('TRACE.md') plus the input source ('resolved Specification Set'), so the action is clear. It does not, however, distinguish itself from the sibling trace_update beyond the create/update verb distinction.

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 guidance, no prerequisites, and no named alternative such as trace_update for the update case. The only hint is the word 'Generate', which implies first-time creation but leaves routing to the agent's 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 declare readOnlyHint=false, so the agent knows this mutates state, but the description adds nothing about what the reconciliation actually does — whether TRACE.md is overwritten in place, whether changes are reversible, or what the 'force' flag overrides. For a mutation tool, that is a meaningful gap beyond the annotation.

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 verb and object come first. It is efficient, though brevity here partly reflects under-specification rather than discipline.

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 mutation tool with no output schema, 0% parameter documentation, and only a readOnlyHint=false annotation needs the description to carry behavioral and parameter detail, and it does not. An agent cannot predict the effect of this call or of 'force'.

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 three parameters, and the description only obliquely maps TRACE.md and the Specification Set to the 'trace' and 'root_spec' params. The 'force' parameter, the most behaviorally significant one, is entirely unexplained in both description and 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 (reconcile) and resources (TRACE.md, Specification Set), so an agent knows this modifies an existing trace file rather than creating one. It does not explicitly name the sibling it contrasts with, trace_create, but the 'existing' qualifier does most of the differentiating work.

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 statement of when to use this versus trace_create, validate, or validate_pair, and no preconditions (e.g. TRACE.md must already exist). Usage can only be inferred from the word 'existing'.

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, so the safety profile is known. But the description does not explain how the two validations interact, what 'Trace Pair' means, what happens when strict is true, or whether the check is complete or partial. For a validation tool with two distinct advertised modes, 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?

A single short sentence is concise but too terse for a five-parameter validation tool with two advertised modes. It front-loads nothing useful and reads like a title restatement rather than a definition.

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 five undocumented parameters, no output schema, no annotations beyond readOnlyHint, and an unclear relationship to the validate_pair sibling, the description is insufficient for correct invocation. An agent would have to guess at parameter semantics and tool 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% across five parameters including two enums (profile, cognitive) and a boolean (strict). The description mentions none of them, so an agent has no idea what 'cognitive', 'profile', 'root_spec', or 'strict' control. This actively 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 states two operations (structural conformance check and Trace Pair validation) but is vague about what is being validated and what the tool actually examines. It overlaps with the sibling validate_pair, and the description does not define the distinction. An agent cannot confidently distinguish this from validate_pair based on the text alone.

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 validate_pair or inspect, despite an obviously competing sibling named validate_pair. No prerequisites, no context about what kind of artifact is validated. Usage is only implied by the name and sibling 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?

Annotations already declare readOnlyHint=true, and the description adds scope context: only Pair alignment, no structural findings. That is useful, but it does not describe return behavior, limitations, or other operational traits.

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 a parenthetical clarification. No words are wasted and the key distinguishing information is immediate.

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 description covers purpose and sibling differentiation, but with two parameters at 0% schema description coverage and no output schema, it leaves parameter meaning entirely unexplained. An agent would have to infer what 'trace' and 'root_spec' control.

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 'trace' or 'root_spec' parameters, their defaults, or their meaning. The description does not compensate for the undocumented 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?

States a specific operation (trace Pair alignment) and narrows it against the sibling validate tool by excluding structural findings. The resource 'Pair alignment' is domain-specific but clear enough to distinguish from validate.

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?

Explicitly contrasts with validate by stating it is narrower and omits structural findings, giving clear context for when to choose it. It does not spell out all when-not conditions, but the alternative is named.

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