Decision Matrix

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

No annotations are present, so the description carries the full burden. It discloses the tool's rendering behavior with heatmap coloring and best-pick recommendation, but omits details like output format, handling of invalid JSON, or weight normalization. This is adequate but not comprehensive.

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 two sentences and 24 words, front-loaded with the main verb and object. It mentions only essential details (input format, output features) with no filler, making it exceptionally concise and well-structured.

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 render tool with 3 parameters and no output schema, the description provides a clear picture of what the tool does and what input to provide. It lacks return-value specifics and deeper weight semantics, but the simple schema and focused purpose make it adequately complete.

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%, so baseline is 3. The description adds 'Pass options and criteria as JSON arrays,' which reinforces but does not extend the schema. It does not clarify semantic constraints like score ranges or weight sum requirements, adding minimal value beyond the schema.

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 uses a specific verb 'Render' and resource 'weighted decision matrix' with explicit output features (scores, heatmap coloring, best-pick recommendation). It clearly distinguishes this tool from siblings like render_budget and render_comparison by focusing on weighted multi-criteria comparisons.

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 implies a clear use case: comparing options across weighted criteria to produce a decision matrix. It lacks explicit when-not-to-use or alternative tool references, but the context is unambiguous and self-contained, earning a 4 for clear implied usage.

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