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Jid: the trust API for AI agents

Get a business file

get_business_file

The full Jid file for one business: status, identifiers, every current fact with its source, verification date, next check and confidence, owner statements (labelled self-reported), possible matches and the change history.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesJid file id from search_business, e.g. gland-pharma-limited-j9nehi

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?

With no annotations, the description carries the full burden, and it does add real behavioral value by flagging data provenance: facts carry a source, verification date, next check and confidence, and owner statements are 'labelled self-reported'. It still says nothing about read-only semantics, permissions, or failure behavior.

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?

A single front-loaded sentence that opens with the resource and then enumerates the payload; every clause maps to actual returned content. Slightly dense but no wasted words.

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

Completeness4/5

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

There is no output schema, so the description must convey the return shape, and it does so in detail (status, identifiers, facts with provenance, owner statements, matches, history). Combined with a fully documented single parameter, an agent has enough to call it correctly; only usage routing 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?

Schema description coverage is 100% and the single id parameter is documented with a concrete example (gland-pharma-limited-j9nehi) sourced from search_business. The description adds nothing about the parameter, so baseline 3 applies.

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?

Names a specific resource (the full Jid file for one business) and enumerates the contents an agent will receive, so the purpose is unmistakable. It does not, however, distinguish itself from siblings like verify_business or screen, leaving the differentiator implicit.

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 and no mention of alternatives; an agent must infer from the name alone that this is the detail-retrieval step after search_business. No prerequisites or exclusions are stated.

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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