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Crawlora MCP

datasets_jobs_company_item

Read-only

Jobs board registry company by board id, joined with recent public LCA sponsorship evidence and a tech-stack hint when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe dataset board id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real value by disclosing that the response is joined with sponsorship evidence and a tech-stack hint, and 'when available' signals the enrichment is optional/sparse. It stops short of describing join semantics or confidence.

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

Conciseness4/5

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

One sentence, front-loaded with the resource and lookup key, then the enrichment. No filler, though the phrase 'joined with recent public LCA sponsorship evidence' is dense jargon that could be tightened.

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

Completeness3/5

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

For a single-param read-only lookup with an output schema, the description is minimally adequate: the agent knows what it returns enrichment-wise without needing return-value explanation. It is missing how to obtain a board id and how this differs from datasets_jobs_item.

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?

Schema coverage is 100% with a single documented 'id' field, so baseline 3 applies. 'By board id' reaffirms that the id is a board id rather than a company id, which is slightly useful given the tool name says 'company', but adds no format or sourcing detail beyond the schema.

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 resource (jobs board registry company) retrieved by board id, and names the enrichment it carries (LCA sponsorship evidence, tech-stack hint). This distinguishes it from the search/facets siblings, though it does not explicitly contrast with the close sibling datasets_jobs_item or datasets_jobs_companies.

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?

There is no when-to-use guidance, no precondition, and no routing to alternatives such as datasets_jobs_search (to find a board id) or datasets_jobs_item. The agent must infer the lookup role purely from the word 'by board id'.

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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