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A fishing catch logbook: record, list and tally catches over REST and MCP. Counted, never estimated.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
ChatGPT
–
Claude
–

TDQS

A3.7/5.0

Scored across 3 tools

Disambiguation5/5

The three tools target clearly distinct actions: writing an entry (record_catch), reading raw entries (list_entries), and reading aggregates (catch_summary). An agent can easily pick the right one for writing vs. browsing vs. analyzing.

Naming Consistency4/5

All names use consistent snake_case with clear, readable tokens. However, two follow a verb_noun pattern (record_catch, list_entries) while catch_summary is noun_noun, a minor deviation from the pattern.

Tool Count4/5

Three tools is a lean but reasonable surface for a personal logbook, covering the write/read/aggregate triad. It sits at the low end of the well-scoped range and could feel slightly thin for users managing their data.

Completeness3/5

Coverage handles creation, listing, and summary, but there is no way to update a mistyped entry, delete an entry, or fetch a single entry by id. These gaps force agents into dead ends for common logbook maintenance tasks.

Available Tools

3 tools
catch_summaryAInspect

Count what is in your logbook: totals, longest and heaviest, per species, per place and per month. Every number is counted from your entries; nothing is estimated.

Inputs: no named parameters.

list_entriesAInspect

List the entries stored in your own logbook, newest first. Entries belonging to other users are never returned.

Inputs: limit.

record_catchAInspect

Record one catch in your logbook: date, species, place, and optionally length, weight, method, weather and water temperature. Returns the stored entry, or the list of errors that prevented storing it.

Inputs: place (required), species (required), caught_on (required), notes, +5 more.

Tool Schema Changelog

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