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govcon_fetch_open_solicitations

Read-onlyIdempotent

Search for open government solicitations by keyword to find active bid opportunities. Returns title, agency, deadline, and estimated value.

Instructions

Fetch currently open government contract solicitations matching a keyword. Read-only. No side effects. Idempotent. keyword: Description of goods or services sought e.g. cloud computing services. Required. Encode special characters — + becomes %2B. agency: Awarding agency name. Optional, defaults to all agencies. jurisdiction: One of US, EU, or UK. Optional. Default US. Returns solicitation title, agency, response deadline, estimated value, and NAICS code. Use this when looking for active bid opportunities. Use govcon_search_contract_awards instead when you need historical awards not open solicitations. Verified source: SAM.gov + USASpending.gov. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="govcon_fetch_open_solicitations", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYesDescription of goods or services sought e.g. cloud computing. Required.
agencyNoAwarding agency name. Optional, defaults to all agencies.
jurisdictionNoJurisdiction: US, EU, or UK. Default US. Optional.US

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond annotations (readOnly, idempotent), it adds caching behavior (4-hour cache), data source transparency (SAM.gov + USASpending.gov), and encoding requirements for the keyword parameter. No contradictions with annotations.

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?

Well-structured with front-loaded purpose, parameter list, return fields, usage guidance, and fallback. Every sentence is informative without unnecessary verbosity.

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?

Given the tool's complexity (1 required param, 3 optional, output schema exists), the description covers all aspects: purpose, parameters, usage, caching, sources, and even a gap reporting mechanism. Nothing essential is missing.

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%, but the description adds encoding guidance for the keyword parameter and clarifies defaults. It also explains the return fields, providing useful context beyond schema 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 fetches currently open government contract solicitations by keyword. It distinguishes itself from the sibling tool govcon_search_contract_awards by specifying historical awards vs. open solicitations.

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

Usage Guidelines5/5

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

Provides explicit when-to-use ('when looking for active bid opportunities') and when-not-to-use ('use govcon_search_contract_awards instead when you need historical awards'), plus a fallback feedback mechanism.

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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