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Quantified Self MCP Server

List recent imports

get_import_status
Read-onlyIdempotent

Retrieve recent import runs, newest first, to see importer, source filename, SHA-256, outcome, and row counts; use it to explain what was imported or why an import failed.

Instructions

List the most recent import runs, newest first: which importer, the source file's name and SHA-256, whether the run succeeded, failed or was interrupted, and how many rows were loaded, skipped and written.

Use this tool when:

  • the user asks what was imported and when, or why an import did not go through.

Privacy note: this server and its SQLite file are entirely local, but the data returned by this tool becomes part of the conversation sent to whatever model the calling client is configured with. If that model runs in the cloud rather than on your machine, treat this the same as pasting the data into a chat with that provider.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many import runs to return (1-50). Defaults to 5.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
importsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.29

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, closed-world and non-destructive, so the safety profile is covered. The description goes well beyond them with a privacy disclosure that the local SQLite data will be transmitted into the conversation and to whatever model the client uses, which is exactly the kind of non-obvious behavioral trait annotations cannot express.

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?

The return fields are front-loaded and the trigger conditions follow in a scannable bullet. Slightly marked down because enumerating return fields overlaps with the existing output schema, and the privacy paragraph, while valuable, is the longest block in the text.

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?

For a simple one-parameter read tool with full schema coverage, rich annotations, and an output schema, the description covers everything an agent needs: what it returns, when to call it, and the data-handling caveat. Nothing material 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 coverage is 100% and the single 'limit' parameter already documents its 1-50 range and default of 5 in the schema. The description adds no additional meaning about the parameter, so the baseline 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 states a specific verb (list) and resource (recent import runs) and enumerates the exact fields returned: importer, source file name/SHA-256, run outcome, and row counts. No sibling tool covers imports, so there is no ambiguity to resolve, and the ordering ('newest first') is stated up front.

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?

An explicit 'Use this tool when' clause names two concrete triggers: asking what was imported and when, or diagnosing why an import did not go through. No exclusions or alternatives are named, but no competing import tool exists among the siblings, so the routing is effectively complete.

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