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audit_osha_safety

Audit contractor worksite safety history against the OSHA inspection and enforcement database.
Evaluates willful safety violations, repeat fall protection citations, and cumulative penalties.

Args:
    entity_name: Official business or entity name to evaluate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It implies a read-only lookup of a public enforcement database, but does not state permissions, data recency, rate limits, or whether the audit is a point-in-time snapshot. It gives the evaluated criteria but little operational 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?

Two purpose sentences front-load the core function and the evaluation criteria, followed by a minimal Args block that earns its place given 0% schema coverage. No wasted filler, though the Args formatting is boilerplate.

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?

For a single-parameter lookup tool with an output schema (so return values need not be described) and no annotations, the description covers purpose and the sole parameter adequately. Minor gaps remain around data source recency and matching semantics.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate, and it does: the Args block clarifies entity_name is the 'Official business or entity name to evaluate,' disambiguating from a person's name or DBA. It stops short of specifying exact-match requirements or alias handling.

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 (Audit) and resource (contractor worksite safety history against the OSHA inspection and enforcement database), and enumerates the signals it evaluates (willful violations, repeat fall protection citations, cumulative penalties). It is clearly distinct from siblings like check_federal_debarment or verify_license, though it never names them explicitly, so it stops short of a 5.

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

Usage Guidelines3/5

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

The description implies when the tool applies (auditing a contractor's OSHA safety record) but gives no explicit when-to-use/when-not guidance and never points to alternatives such as check_compliance_risk. Usage must be inferred from the stated purpose.

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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