Feed America

feedam_get_resource_details

Get full details on a single food-assistance resource by ID, including hours, requirements, services offered, languages spoken, accessibility features, and verification status. Use this after feedam_find_food_resources returns a resource_id you want to deep-dive on.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "resource_id": "<resource_id>"
    },
    "name": "feedam_get_resource_details"
  }
}

Input Schema

Name	Required	Description	Default
`resource_id`	Yes	Numeric resource ID from feedam_find_food_resources results. Required.

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 18, 2026

TDQS

A4/5.0

Behavior3/5

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

No annotations exist, so the description carries the full burden. It implies a read-only fetch via 'Get' and usefully enumerates the fields returned, which is real behavioral content. However it says nothing about permission requirements, rate limits, or what happens when the ID is invalid or the resource is unverified/closed, leaving notable gaps for a zero-annotation tool.

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?

Two sentences, zero filler, and the most decision-relevant information (what you get back) is front-loaded before the usage cue. Nothing repeats the tool name or title.

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

Completeness4/5

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

With no output schema, the description usefully compensates by listing the categories of returned detail and by tying the tool to its upstream search call. It is nearly complete for a simple one-parameter reader, missing only error/not-found behavior and any indication of whether the verification status is an enum or free text.

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% and there is a single parameter, so the schema already documents resource_id fully as a required numeric ID. The description reinforces that the ID originates from feedam_find_food_resources but adds no format or edge-case detail beyond the schema.

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 (Get) plus resource (a single food-assistance resource by ID) with an explicit enumeration of the returned data: hours, requirements, services, languages, accessibility, verification status. It is clearly distinguishable from sibling list/lookup tools such as feedam_find_food_resources.

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 second sentence names the predecessor tool and the trigger condition: 'Use this after feedam_find_food_resources returns a resource_id you want to deep-dive on.' That gives an agent clear context for sequencing. It stops short of stating when not to use it (e.g., for browsing or bulk lookup), so it is strong context rather than full exclusions.

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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