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PantryPOS — Food Pantry Finder

Find a food pantry near a location

find_food_pantry
Read-onlyIdempotent

Find nearby food pantries for someone who needs food. Give a location — a US ZIP code, "City, ST", or "lat,lng" — and it returns the closest pantries with address, phone, website and distance, from a directory of ~17,000 US food pantries. Use it when someone asks where to get free food or find a food pantry. Free, no signup. Call the pantry to confirm hours and eligibility before visiting — this tool does not have live hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many pantries to return (default 5, max 15).
locationYesUS ZIP code, "City, ST", or "lat,lng".

Schema Changelog

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

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already establish this as read-only, idempotent, and non-destructive. The description goes beyond this safety profile by disclosing the ~17,000-entry dataset, the absence of live hours, the instruction to call the pantry, and that it is free with no signup. This is useful context, though it does not address potential errors or rate limits.

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 front-load the purpose, then compactly cover input formats, output details, usage context, and the live-hours caveat. There is no filler and every sentence contributes to helping the agent decide and invoke the tool.

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 compensates by listing return fields (address, phone, website, distance) and input formats, plus the data source size and a key limitation. For a two-parameter tool with full schema coverage and no siblings, nothing essential is missing.

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?

Schema description coverage is 100%, with both 'location' and 'limit' documented including examples, defaults, and max. The description repeats the location formats but adds little beyond what the schema already provides, so the baseline of 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?

The description opens with 'Find nearby food pantries' and enumerates exactly what the tool returns: closest pantries with address, phone, website, and distance. Even with no siblings, the verb+resource+scope is specific and distinguishes the tool's directory of ~17,000 US food pantries.

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?

It explicitly states 'Use it when someone asks where to get free food or find a food pantry', which is clear use-case guidance. There are no sibling tools or alternatives, so exclusions are not needed; the absence of a 'when not to use' is not a meaningful gap here.

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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