catchlog

record_catch

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.

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": {
      "caught_on": "<caught_on>",
      "species": "<species>",
      "place": "<place>"
    },
    "name": "record_catch"
  }
}

Input Schema

Name	Required	Description
`notes`	No	free text (optional)
`place`	Yes	where, e.g. "north jetty"
`method`	No	how it was caught (optional)
`species`	Yes	what was caught, e.g. "sea bass"
`weather`	No	conditions (optional)
`caught_on`	Yes	date of the catch, YYYY-MM-DD
`length_cm`	No	length in cm (optional)
`weight_kg`	No	weight in kg (optional)
`water_temp_c`	No	water temperature in Celsius (optional)

Schema Changelog

Changes observed during successful MCP inspections.

AddedOct 3, 2026

TDQS

A3.6/5.0

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the two outcome shapes ('the stored entry, or the list of errors that prevented storing it'), which tells the agent writes may fail and how failure surfaces. It says nothing about permissions, whether a failed validation discards everything, or whether entries are mutable/deletable, leaving gaps for a no-annotation mutation 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, no padding, with the purpose front-loaded ahead of the return-behavior note. Every clause earns its place.

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 correctly summarizes both success and validation-error returns, and it names all the required fields plus most optionals for a nine-parameter tool. The omission of 'notes' and any behavioral note about the write itself is a minor gap.

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%, so the schema already documents all nine parameters with formats and units; baseline 3 applies. The description groups the required fields and lists the optional ones, adding light framing, but misses 'notes' entirely and adds no meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Record one catch in your logbook') and enumerates the fields being captured, which distinguishes a write operation from the read-oriented siblings catch_summary and list_entries. However, it never names those siblings, so the differentiation is inferred rather than explicit.

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?

Usage is implied by 'record one catch' — the agent can infer this is the logging tool used before catch_summary or list_entries would be relevant. There is no explicit when-to-use statement, no mention of the sibling tools as alternatives, and no stated preconditions.

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

All catchlog tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources

Need Help?