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

Annotations already declare 'readOnlyHint: true' and 'openWorldHint: true', indicating safe read-only behavior and external data source. The description adds that it wraps 'nexgendata/hiring-signal-detector' and aggregates from job boards, but it doesn't disclose specifics like rate limits, data freshness, or limitations. Thus it adds moderate value beyond 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?

The description is concise: one paragraph for purpose, one for usage, and a clear 'Args' section for the parameter. No unnecessary words or repetition; every sentence adds value. Front-loaded with the core action.

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 simplicity (one parameter, no output schema, annotations covering safety), the description provides sufficient context: what it does, when to use it, and how to specify inputs. It could mention typical output format or limitations, but overall it's complete for effective use.

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?

The single parameter 'company_slugs' is described as 'List of company slugs / names' with examples ('stripe', 'notion'). Since the input schema only specifies type (array of strings) with no descriptions, the tool description adds crucial meaning about what to provide, making the parameter clear and actionable.

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 detects hiring-momentum signals for a list of companies, aggregating open-role counts, growth-related keywords, and trend indicators from job boards. The verb 'detect' and resource 'hiring-momentum signals' are specific, and the description distinguishes it from sibling tools like 'search_linkedin_jobs' by focusing on aggregate signals rather than individual job listing.

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 provides explicit use cases: sales prospecting ('which of my target accounts are hiring right now?') and funding signals ('companies scaling engineering = recently funded'). While it doesn't explicitly state when not to use or name alternatives, the context of sibling tools and the listed use cases give clear guidance on when to apply this tool.

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