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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the agent knows the safety profile. The description adds a useful trust signal ('Does not invent prices or ratings'), indicating data is sourced rather than generated, but says nothing about behavior for a nonexistent slug or the response shape.

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?

Two short sentences: the operation and its return payload come first, followed by one clarifying caveat about data fidelity. Nothing is redundant or padded.

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?

With no output schema, the description correctly carries the burden by listing the returned fields, which is the key missing structured information. The only gap is unspecified behavior for unknown slugs or tools not yet published.

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% and includes a concrete example, so the baseline is 3. The description still adds value by stressing 'exact slug', implying strict, non-fuzzy matching — a semantic detail the schema does not convey.

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?

States a specific verb and resource ('Get one published tool by exact slug') and immediately enumerates the fields returned (tagline, pricing label, alternatives, source, last checked date). This clearly distinguishes it from search_tools, which returns many tools rather than one.

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 'by exact slug' constraint establishes the usage context: this is a follow-up lookup once a slug is known, reinforced by the schema note 'Exact tool slug from search_tools'. However, the description itself never names search_tools or compare_tools as alternatives or states when not to use it, leaving that inference to the reader.

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