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loseit-mcp

loseit-mcp

by cabird
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

search_food

Find foods by name and get their unique IDs to log meals or retrieve detailed nutrition information.

Instructions

Search the Lose It! food database. Returns candidate foods with a food_id to pass to log_food or describe_food.

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": {
      "query": "<query>"
    },
    "name": "search_food"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMax results to return.
queryYesFood name to search for, e.g. 'greek yogurt'.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states it returns candidate foods, but omits details about read-only nature, pagination, sorting, or any side effects. This is minimal for a search 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?

The description is two sentences, no extraneous words, and front-loaded with the primary action and output. Highly concise and structured.

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

Completeness3/5

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

The description covers the core purpose and output schema usage, but lacks guidance on when to use this tool over siblings and behavioral details. For a simple tool, it is partially complete but leaves gaps.

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 coverage is 100%, so the schema already documents both parameters. The description adds minimal value beyond the schema, only providing an example for query ('greek yogurt'). The limit parameter is adequately described in 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?

The description clearly states the tool searches the Lose It! food database and returns candidate foods with a food_id, which can be used with log_food or describe_food. It distinguishes the tool by specifying its output and downstream usage.

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

Usage Guidelines3/5

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

The description implies usage by mentioning the returned food_id is for log_food or describe_food, but it does not explicitly state when to use this tool versus alternatives like describe_food, nor does it provide when-not or exclusion conditions.

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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