validate_code_syntax

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

With no annotations, the description must carry behavioral disclosure. It does state that the tool validates, calculates complexity, and detects malicious code/dead paths, and it discloses the 0.01 USDC Base L2 payment requirement. However, it doesn't describe the return format, input expectations, error behavior, or whether any side effects occur beyond payment.

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 focused sentence plus a parenthetical payment note. It is front-loaded with the core action and wastes few words. The trade-off is that it is terse to the point of omitting important usage and format details.

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

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

For a tool that analyzes code syntax and security, the description is incomplete without specifying accepted input formats, programming languages, output structure, or failure modes. There is no output schema and no annotations to compensate. An agent would not know what to place in the payload or what result to expect.

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 the schema already documents both parameters. The description adds minimal parameter meaning beyond the schema; the payload description is vague ('Input parameters or JSON string payload'). The payment mention adds context to paymentSignature, but payload semantics remain underspecified.

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 and resource (validates syntax tree) and adds concrete operations: calculates AST complexity, detects malicious code and dead paths. It is not a tautology and conveys a meaningful purpose. However, it lacks sibling differentiation, since it doesn't specify supported languages or how it differs from AST/security analyzers like python_ast_sandbox_escape_detector.

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. It only says 'for autonomous agents', which is an audience statement, not a usage context. It also doesn't state prerequisites, exclusions, or preferred scenarios.

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