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

Annotations already declare read-only, non-destructive, and idempotent behavior, so the description does not need to re-cover those. It does add meaningful semantics: signup_url is verified on assessed_at, and a platform absent here is not proof of refusal—it is merely unassessed or unpublished. These boundary details would be hard to infer from the schema alone.

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 main purpose is front-loaded, and every sentence carries signal: what the list contains, which question it answers, how it relates to search_firms, and how URL verification/absence should be interpreted. There is no filler or redundancy with the title.

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?

The description is complete for this read-only list tool: it clarifies scope, a reliable sibling relationship, verification meaning of the returned URL, and absence semantics. With four optional parameters all documented in the schema and read-only annotations present, nothing critical is missing for correct 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?

Schema description coverage is 100%, and every parameter already has a focused description including cursor rules, country format, and platform_type behavior. The tool description adds little parameter-level meaning beyond clarifying that the tool applies a platform-type filter, so the appropriate baseline is 3.

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 names a specific verb (list) and resource (freelance platforms where a consultant can create a profile) and gives concrete examples of the included platform kinds. It also clearly distinguishes itself from search_firms by stating this is a narrower subset that adds platform fields, so an agent can tell it apart from sibling tools.

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 explicitly positions this tool as the one answering 'where do I register?' and names search_firms as the broader alternative, clarifying that this tool never returns a wider population. That gives an agent a direct routing decision: use this when platform signup fields are the goal, and search_firms for the broader directory.

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