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

Annotations already declare a safe, idempotent, closed-world read. Beyond that, the description discloses the composition and ordering of results: Work Insiders' write-up picks with stated reasons first, then other same-category tools. It does not cover behavior when the named tool is unknown or absent from the dataset.

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 dense sentences with the core behavior front-loaded and no filler. The trailing filter clause is partly a restatement of schema parameters, which is the only mild redundancy.

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 explains what the returned list contains and how it is ordered (write-up picks with reasons, then same-category tools). For a five-parameter read tool with rich annotations, only the not-found case and result count are left implicit, which the schema's default/max limit partly handles.

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 80%, so most parameters are already documented in the schema, including the detailed pricing normalization rules. The description names the filter dimensions (MCP, free plan, price) at a high level but adds no syntax or edge-case meaning beyond the schema, and omits `limit` entirely. Baseline 3 applies.

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+resource: given one named tool, return alternatives to it. It is clearly distinguishable from siblings like get_tool, search_tools and compare_tools by the 'alternatives to one named tool' framing plus the result ordering. It stops short of explicitly naming which sibling to use instead in adjacent cases.

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?

Usage is implied by the description (use this when you have a single tool and want substitutes), and the filter set hints at narrowing scenarios. However, there is no explicit when-not condition or pointer to a competing sibling such as search_tools for open-ended discovery.

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