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

With no annotations, the description carries the full burden. It usefully discloses the output format (SARIF v2.1.0) and target consumers, but leaves key behavior unstated: whether the tool performs the audit itself or only formats pre-computed results, whether it writes a file or returns a string, and whether any permissions or side effects apply.

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 dense sentence that front-loads the conversion and immediately names the output standard and integrations; no wasted wording. Mildly loose phrasing ('git diff audit results') is the only blemish.

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

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

For a simple two-parameter tool with no annotations and no output schema, the definition covers what the output is but not how it is delivered (returned JSON vs. written artifact) or how the audit step relates to the conversion, leaving an agent to infer the return 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 coverage is 100%, so both parameters (diff, toolName) are already documented in the schema. The description adds no meaning beyond that baseline and does not explain the optional toolName driver field or expected diff format.

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 ('Converts') and resource (git diff audit results) plus a concrete output standard (OASIS SARIF v2.1.0). Slight imprecision: the input schema says the parameter is a raw unified diff, not 'audit results', and no sibling (scan_diff_for_secrets, review_git_diff, generate_github_pr_suggestions) is named for differentiation.

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 context is only implied through the destination list (GitHub Advanced Security, GitLab Code Quality, CI/CD dashboards), which suggests 'use when you need SARIF output'. There is no explicit when-to-use vs. the three sibling tools and no statement of prerequisites or 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?

With no annotations, the description carries the full burden, and it does disclose the output shape (```suggestion blocks anchored to exact target files and new-file line numbers) and the finding taxonomy, which is genuinely useful. However, it does not say whether anything is posted back to GitHub/GitLab or whether output is purely returned text, nor does it mention repo context requirements, size limits, or determinism of the generated suggestions.

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 tightly packed sentence with the artifact type front-loaded and no redundant filler. It is dense but every clause carries information; the only mild cost is that the finding list and mapping details run together in a single breath.

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?

There is no output schema, so the description must carry the return contract, and it only partially does – it names the artifact (suggestion blocks mapped to file/line) but not the container format (markdown text, JSON array, etc.) or how multiple findings are ordered/grouped. For a moderately complex generation tool that's adequate but leaves a real gap an agent would want closed before invoking it.

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

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

The single parameter has 100% schema description coverage ('Unified git diff string'), so the schema already does the heavy lifting. The description adds only the notion that findings must map to new-file line numbers, not any diff format or syntax guidance beyond the schema; baseline 3 applies for this near-zero parameter count.

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 artifact: 'Generates committable GitHub/GitLab inline review suggestions (```suggestion blocks)' mapped to files and line numbers, and it scopes the findings to security, injection, WCAG, and AI Act categories. This clearly separates it from scan_diff_for_secrets and export_pr_sarif_report, though it never names review_git_diff as the non-suggestion alternative.

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: the word 'committable' hints that this is the tool to pick when you want apply-ready patch suggestions rather than a plain review or SARIF export. There is no explicit when-to-use statement, no prerequisite (e.g., must the diff be unified/complete?), and no named alternative to route away from.

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

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

With no annotations, the description carries the full burden, and it does add real value by disclosing the decision model (BLOCK_MERGE_CRITICAL through CLEAN_APPROVAL) and that it returns a formatted comment rather than posting one. However, it omits operational traits an auditor would need: whether external services are contacted, diff size limits, latency, or determinism.

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, front-loaded with the action and followed by the return contract; nothing is redundant. The enum list is verbose but functional, and the jargon-heavy phrasing is the only mild drag.

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

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

No output schema exists, and the description compensates by naming the primary return fields and the full decision vocabulary, which is the main thing an agent needs. It falls short only on the failOnSeverity/threshold relationship and any practical limits on diff size or cost.

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 both parameters are fully documented in-schema, so baseline 3 applies. The description never mentions failOnSeverity, which materially changes which mergeDecision tier fires — a missed opportunity to explain how the threshold interacts with the returned decision.

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 — auditing a unified git diff (.patch / git diff / PR payload) — and enumerates concrete outputs (prRiskScore, mergeDecision tiers, findings, formatted review comment). It implicitly distinguishes itself from scan_diff_for_secrets by calling itself a 'full multi-gate' audit, but never names siblings explicitly.

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: 'full multi-gate DevSecOps and compliance audit' suggests this is the comprehensive option versus narrower siblings, but there is no explicit 'use this when / use X instead' guidance or stated prerequisites. An agent must infer the routing from wording rather than being told.

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

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

With no annotations, the description carries the full burden: it discloses the detection categories and the return artifact (replacement .env diffs), which is genuinely useful. It does not state that the operation is non-mutating/read-only, whether findings include line numbers or severity, or how false positives/high-entropy matches are handled.

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 dense sentence, front-loaded with the verb and scope, with the detection list and output type attached without filler. Every clause earns its place and nothing is redundant.

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 single-parameter, read-only analysis tool with no output schema, the description covers input expectations and the shape of the result (replacement diffs) well enough to call it. Missing only the reporting details (line references, severity, empty-result behavior) that an agent would want before relying on the output.

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

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

Schema description coverage is 100% with a single required parameter, so the schema already defines that a unified git diff goes in. The description adds only a slight nuance by emphasizing 'added' lines are scanned, which implies context lines are ignored; nothing beyond that is contributed.

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 ('scans') plus resource ('added git diff lines') and enumerates the credential families it detects, then names the deliverable ('.env replacement diffs'). It is unmistakably distinct in intent from review_git_diff, but never names or contrasts with that sibling, so differentiation is inferred rather than stated.

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

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

No when-to-use / when-not-to-use guidance and no mention of the sibling tools (review_git_diff, generate_github_pr_suggestions) that an agent must choose between. The only usage signal is 'added git diff lines', which narrows scope but does not tell the agent when this tool is the right pick.

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