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

Annotations indicate readOnlyHint=false, confirming this is a mutation. The description adds the workflow detail of resolving company_id first and submitting the email, as well as preserving the challenge_id. However, it doesn't disclose potential side effects like sending an email to the user or requiring specific account permissions. With openWorldHint=true, providing more behavioral context (e.g., that this triggers an email) would be beneficial. The description is not contradictory but could be more transparent about the external effect.

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 concise, three sentences, and front-loads the purpose and trigger. It efficiently packs critical instructions without fluff. However, it could be slightly more structured by separating the 'when' from the 'how', but it's already quite good. Minor deduction for density.

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?

Given the tool's complexity (verification flow) and no output schema, the description adequately covers the essential steps, prerequisites (resolve company_id), and handoff to the next tool. It doesn't mention what happens after success (you'll receive a challenge_id) but that's implied by preserving it. The lack of response format is mitigated by the explicit instruction to preserve challenge_id. Overall, quite complete for an agent to execute correctly.

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 75%, covering company_id, email, and account_id. The description adds crucial guidance for account_id (omit when one account, list when several, never guess) and company_id (use exact ID, never name/slug). This goes beyond basic schema descriptions. The product parameter is well-defined by enum. The description compensates well for the uncovered parameters.

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 clearly states the tool starts LinkedIn company-member identity verification when a job/company action fails with insufficient permissions. It specifies the action, resource, and condition for use, effectively distinguishing it from sibling tools like linkedin_submit_company_member_otp which continues the flow.

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 states when to use this tool: when a job/company action fails with insufficient permissions. It also gives a clear workflow instruction: resolve company_id first, submit the verification email, and preserve the challenge_id for the next step (linkedin_submit_company_member_otp). This provides strong context and sequencing, though it doesn't mention when not to use it against all other Linkedin tools, but the trigger condition is clear enough.

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