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Hiring Signals — B2B Sales Intent from Job Postings (AI)

b2b_hiring_signal_tracker
Read-only

Track which companies are hiring, for what, and what it means. Track which companies are hiring, for what, and what it means. Pulls open roles from company career sites, then AI reads the signal: which teams are growing…

Input Schema

NameRequiredDescriptionDefault
inputNoInput for Hiring Signals — B2B Sales Intent from Job Postings (AI). See https://apify.com/noniner/b2b-hiring-signal-tracker.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / input / description
      Previous value: -"Input for B2B Hiring Signal Tracker — Who's Hiring & Why (AI). See https://apify.com/noniner/b2b-hiring-signal-tracker."New value: +"Input for Hiring Signals — B2B Sales Intent from Job Postings (AI). See https://apify.com/noniner/b2b-hiring-signal-tracker."
  2. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real value by saying it pulls open roles from company career sites and then uses AI to interpret which teams are growing, but the sample cuts off mid-sentence ('which teams are growing…'), so the behavioral picture is incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is duplicated verbatim, and the text ends in a trailing ellipsis, so the definition is both redundant and truncated. It is not front-loaded with the differentiators an agent needs.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex, open-world AI-analysis tool with a nested input object and no output schema, the description does not say what the caller supplies, what the output looks like, or how long it takes. Truncation means even the intended behavioral disclosure is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one nested 'input' object whose schema description is only a link to an external page, and the tool description explains nothing about what to put in it. Even with declared 100% coverage, the schema text is a pointer rather than real parameter documentation, so the description fails to compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: tracks companies' hiring activity from career sites and interprets what it means for B2B sales intent. An agent can tell it produces hiring-signal insight, not raw job listings. It does not differentiate itself from close siblings such as b2b_job_post_parser, job_market_insights, or career_site_jobs_api.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use, when-not-to-use, or alternative-tool guidance. The only usage signal is the phrase 'B2B sales intent' in the title, which implies a prospecting context but leaves an agent guessing among ~90 siblings with overlapping scope.

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

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