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

Annotations already cover the safety profile (readOnlyHint=true) and dataset scope (openWorldHint=false). The description adds genuinely new behavioral context by enumerating the possible status values ('works / not available / not confirmed yet') and noting that each result carries an official source, which an agent cannot learn from the schema or annotations.

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?

Three short sentences, each carrying distinct information: what is listed, how to filter, and what comes back. The core purpose is front-loaded with zero filler.

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 usefully compensates by summarizing result contents (status values plus official source), and the readOnly annotation plus zero required parameters make invocation unambiguous. The only gap is sibling differentiation against 'what_can_i_connect'.

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 both parameters are already documented as 'ChatGPT, Claude, Gemini or Grok' and 'App name, e.g. Gmail'. The description only restates that they can be combined with 'and/or', adding marginal value over the schema; 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 and resource ('List which apps connect to ChatGPT, Claude, Gemini and Grok'), which is far more informative than the name alone. It scopes the resource to AI-to-app connectors, though it does not explicitly distinguish itself from the sibling 'what_can_i_connect', which sounds like an overlapping query.

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 usage through 'Filter by AI and/or app name', telling the agent that filters are optional and combinable. However, it never states when to prefer this tool over 'what_can_i_connect' or 'get_connection_steps', so routing among siblings is left to inference.

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