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Gsa Auctions

by io.github.pipeworx-io
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Gsa Search Auctions

gsa_search_auctions
Read-onlyIdempotent

Search current US federal government surplus auctions from GSA Auctions (api.data.gov). GSA Auctions sells government surplus to the public — vehicles, machinery, aircraft, vessels, industrial equipment, electronics, etc. Filter active lots by property state (2-letter, e.g. "TX"), a free-text keyword matched against the item name (e.g. "truck", "forklift", "boat"), and/or auction status. Returns each lot with sale/lot number, item name, property location, sale location, start/end dates, status, high bid, reserve, number of bidders, item and image URLs. NOTE: the upstream API has no server-side category filter — use the keyword argument to narrow by item type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax lots to return (1-200). Default 25.
stateNoFilter by 2-letter property state code (e.g. "TX", "CA"). Matches PropertyState.
statusNoFilter by AuctionStatus (case-insensitive substring, e.g. "Active", "Open"). Omit to include all statuses.
keywordNoFree-text keyword matched (case-insensitive) against the item name — use for category/type (e.g. "truck", "forklift", "aircraft", "boat", "generator").

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "keyword": "truck",
+    "limit": 25,
+    "state": "TX"
+  },
+  {
+    "keyword": "forklift",
+    "limit": 50,
+    "status": "Active"
+  }
+]
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare it's read-only, idempotent, open-world, and not destructive. The description adds that the upstream API has no server-side category filter, which is critical behavioral context. 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?

Three sentences plus a note, each sentence adds unique value. Front-loaded with purpose and resource. No redundancy or fluff.

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?

No output schema, but the description lists returned fields (sale/lot number, item name, etc.). Covers all parameters and provides examples. Complete for a search tool with no required parameters.

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 coverage is 100% with detailed descriptions. The addition adds value: limit default 25, state as 2-letter code, keyword matched against item name, status case-insensitive substring. Examples in the schema further clarify.

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 uses specific verbs and resources: 'Search current US federal government surplus auctions from GSA Auctions'. It clearly distinguishes from siblings like gsa_auction_lot (single lot) and gsa_auctions_closing_soon (subset). The mention of 'api.data.gov' provides context.

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?

Explicitly states filtering by state, keyword, and status. Includes a NOTE about using keyword for category/type due to API limitations. Provides examples in the schema. Lacks explicit when-not-to-use guidance but is clear on context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Gsa Auctions toolsInspect
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