sassy_minify_test

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

With no annotations provided, the description carries the full burden of disclosing behavior. It does state that the tool shows before/after token estimates, which is a key behavioral detail. However, it doesn't explicitly mention that the tool is non-destructive, has no side effects, or any limitations (e.g., payload size). This is a moderate gap given there are no annotations to fall back on.

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 very brief, using three short sentences to convey purpose, usage, and output. It is front-loaded with the main purpose and every sentence adds necessary information without redundancy. This is an exemplary concise description.

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?

Given the tool's low complexity (one parameter, no nested objects) and the presence of an output schema, the description is complete. It explains what input to provide and what output to expect (before/after token estimates). Since the output schema exists, the description doesn't need to detail return values. This is a complete description for a simple test utility.

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 schema only defines sample_json as a string with no description, so the description adds meaningful semantics. It tells the user that the parameter should contain a GitHub API response in JSON format, which goes beyond the bare type information. While it doesn't specify exact formatting (e.g., raw JSON string), it provides enough context for correct usage.

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 opens with a specific verb+resource: 'Test the GitHub response minifier on sample JSON.' This clearly states the tool's purpose and distinguishes it from siblings, none of which are minify-related. The additional context about pasting a GitHub API response and seeing shrinkage reinforces the exact scope.

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 clear usage context: use this tool when you have a GitHub API response to test how much the minifier shrinks it. It does not name alternatives or exclusions, but given the tool's unique purpose among siblings, this is sufficient. The phrase 'Paste a GitHub API response' implies a straightforward testing workflow.

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