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Acquisition Forecasts

Forecast Detail

forecast_detail
Read-onlyIdempotent

Full detail for one procurement forecast entry by its APFS number (e.g. "F2026074190") or numeric id, as returned by forecast_search. Adds the complete requirement narrative, period of performance, place of performance, contract vehicle and type, competition status, and the requirements/contracting/small-business contacts with e-mail and phone. Keyless.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agencyNoAgency key, default "DHS".
forecast_idYesAPFS number ("F2026074190") or the numeric id from a search result.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive. Beyond that, the description adds 'Keyless' (no auth required) and enumerates exactly what detail is returned, which is useful disclosure the annotations do not provide. It does not, however, discuss pagination or response-size characteristics.

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?

Front-loaded with the core action, then a single dense sentence listing returned fields. The field enumeration is long but each item is informative rather than filler, keeping waste low.

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?

With no output schema, the description must convey return content, and it does so exhaustively (narrative, period/place of performance, contract details, competition status, contacts). Combined with annotations covering safety, an agent has everything needed to call it correctly.

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?

With 100% schema description coverage, the schema already documents both parameters. The description reinforces the forecast_id format with a concrete example ('F2026074190'), but adds little about the agency parameter or format semantics beyond what the schema states. Baseline 3 applies.

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?

Specific verb+resource: 'Full detail for one procurement forecast entry.' It explicitly distinguishes itself from the sibling forecast_search by noting the entry is 'as returned by forecast_search,' so an agent grasps the retrieve-vs-search split immediately. The example identifier format further sharpens the purpose.

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 phrase 'as returned by forecast_search' clearly signals the intended workflow (search first, then detail), giving the agent concrete context. It stops short of explicit when-not-to-use guidance or naming alternatives like forecast_agencies, so it falls just below the top tier.

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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