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Govparse Government Data Gateway

oflc_wages_prevailing

What do employers actually offer for this occupation in this state? Annualized wage percentiles (p10-p90) computed from LCA disclosure filings for an SOC code, optionally narrowed to a worksite state: offered wages, DOL prevailing wages, wage-level distribution, and sample size — the market-rate check behind salary negotiation and offer benchmarking. [price: $0.01/call]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
socYesSOC occupation code, required. Example: 15-1252 (software developers).
stateNoWorksite state code to narrow the sample. Example: 'CA'.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the data source (LCA disclosure filings), what is computed (annualized percentiles p10-p90), and includes a price. It does not mention whether the tool is read-only, but that is implied; no contradictions.

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

Conciseness5/5

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

The description is a single sentence that packs all essential information: verb, resource, inputs, output content, and pricing. No wasted words; every phrase adds value.

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

Completeness5/5

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

Even without an output schema, the description specifies the return values: offered wages, DOL prevailing wages, wage-level distribution, and sample size. This is complete for the tool's purpose.

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 100% (both soc and state have descriptions). The description adds meaning by explaining that the tool computes annualized wage percentiles for an SOC code and optionally narrows by state, which aligns with and enriches the parameter descriptions.

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

Purpose5/5

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

The description clearly states the tool provides annualized wage percentiles from LCA disclosure filings for an SOC code, optionally narrowed to a state. It uses a specific verb ('compute') and resource ('wage percentiles'), distinguishing it from sibling tools focused on sponsors or other data.

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

Usage Guidelines4/5

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

The description explicitly frames the use case as 'market-rate check behind salary negotiation and offer benchmarking,' which clearly indicates when to use the tool. It does not explicitly mention when not to use or suggest alternatives, but the context is sufficient.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct domain and specific action (e.g., FDA approvals vs clearances vs recalls; firmstanding business360 dossier vs search vs screen). Even overlapping concepts like 'business360' vs 'business360_lookup' are distinguished by input (UUID vs name+state). No two tools appear to do the same thing.

Naming Consistency5/5

All tools use a consistent lowercase snake_case pattern with domain prefix (e.g., fda_*, firmstanding_*, fmcsa_*, govcon_*). Action words (search, lookup, screen, feed, stats) follow predictable usage. The naming is uniform and easy to parse.

Tool Count4/5

38 tools is on the higher end but appropriate for a comprehensive government data gateway spanning multiple agencies and datasets. Each domain has a reasonable number of tools (e.g., FMCSA: 7, OFLC: 6). Could potentially be trimmed slightly, but overall well-scoped for the stated purpose.

Completeness5/5

The tool surface covers the major government data sources comprehensively: FDA (approvals, clearances, recalls), FMCSA (carrier census, safety, insurance, etc.), FSIS, DOJ/OFLC, OSHA/EPA/DOL enforcement, SEC insider filings, clinical trials, VA facilities/opportunities/vendors, and federal contracting. No obvious gaps for the stated gateway purpose.

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