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Code Review

code-review

Code Review — Reviews pasted code for bugs, security issues (OWASP-aware), and style problems, with fixes and rationale. (3 MESH/call, a tool · devtools)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesCapability-specific payload, e.g. agent-brain: {think:'...'}; agent-memory: {action:'store'|'recall', content|query}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false) and the description adds useful context beyond them: the cost (3 MESH/call), OWASP-awareness, and that output includes fixes and rationale. However, it doesn't disclose behavioral details like length limits, language support, or whether it mutates state. The additions are helpful but not rich; no contradiction with annotations.

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

Conciseness4/5

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

The core purpose is delivered in one front-loaded sentence. The parenthetical '(3 MESH/call, a tool · devtools)' adds minor noise with awkward phrasing, but it is short and conveys cost, so the overall structure is efficient.

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

Completeness2/5

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

For a tool with no output schema and a generic, non-tool-specific input schema, the description carries the burden of explaining both the input contract and return behavior, and it does neither. An agent cannot reliably construct a correct call because the payload structure for this tool is unspecified. Missing guidance on expected input format is a critical gap.

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

Parameters2/5

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

Despite nominal 100% schema coverage, the schema description is a generic template showing examples for OTHER tools (agent-brain, agent-memory) rather than for code-review. The tool description mentions 'pasted code' but never specifies the expected payload structure for the single 'input' object, so an agent cannot determine how to format the code it should pass.

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

Purpose5/5

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

States a specific verb and resource ('Reviews pasted code') with a precise scope covering bugs, OWASP-aware security issues, and style problems. The code-analysis focus implicitly distinguishes it from sibling analysis tools like biz-analyze and task-analysis, and the mention of fixes/rationale sets expectations for output.

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

Usage Guidelines3/5

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

'Pasted code' implies when to use the tool (when the agent has code snippets to analyze), but it offers no explicit exclusions or named alternatives. With over 40 siblings including other analysis-oriented tools, the lack of explicit when-not-to-use guidance leaves selection partly to inference.

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

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