validate_against_standards

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It states it 'Returns: Structured validation report,' but does not disclose any side effects, read-only nature, required permissions, or how validation is scoped. This lack of behavioral transparency is a significant gap.

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 well-structured and compact: a one-line purpose, a clean Args list, and a Returns line. Every element adds value, and the format is easily scannable. There is no fluff or redundant repetition of the schema.

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?

Despite having an output schema, the description remains incomplete for a tool with five parameters and no annotations. It does not explain the validation criteria, how to interpret the report, or the role of session_id. Given the abundance of similar sibling tools, richer context is needed for proper 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?

With schema description coverage at 0%, the description compensates by providing human-readable explanations for each parameter (e.g., 'Code to validate (optional)', 'Specific areas to check'). This adds meaning beyond the bare parameter names, though it could be enriched with more detail about how parameters interact or expected formats.

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 clearly states the tool's function: 'Validate code or design against Sensei engineering standards.' It specifies the resource (code/design) and the action (validate), making the purpose immediately understandable. However, it does not explicitly distinguish itself from similar sibling tools like check_consistency or query_specific_standard, so it falls short of a perfect score.

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 does not mention prerequisites, exclusions, or scenarios that would favor another tool. The only context is the general 'validate code or design,' which leaves the agent without clear direction on selection.

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