A fishing catch logbook: record catches with date, location, species and conditions via MCP.
Scored across 1 tool
With only a single tool, there is no possibility of confusion or misselection between tools. The one tool's purpose is unambiguous.
The lone tool follows a clean verb_noun convention (list_entries). With one tool there is no inconsistency to introduce.
A fishing logbook whose entire MCP surface is one read-only listing tool is far too thin for the stated purpose. Logging a catch, the core activity, has no tool at all.
The surface is read-only: there is no way to create, update, or delete entries, which are the primary operations for a logbook. Agents can inspect entries but cannot log anything, a significant functional gap.
List the logged entries in this catch logbook. Returns the stored entries with date, location, species and conditions.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | max entries to return (default 20) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the disclosure burden. 'List' implies a safe read operation and the returned fields (date, location, species, conditions) are disclosed, which compensates for the absent output schema, but pagination, ordering, and any auth requirements are unstated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, front-loaded with the core action and resource, with no filler. Efficient, if slightly minimal.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple no-annotation, no-output-schema list tool, the description covers the core action and return fields, which is adequate. It stops short of explaining pagination or defaults, but those are largely handled by the schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There is a single optional 'limit' parameter with 100% schema description coverage including its default of 20. The description adds no further semantics, but the schema already does the heavy lifting, matching the baseline of 3 for well-covered schemas.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('List') and resource ('logged entries in this catch logbook'), and enumerates the returned fields. There are no sibling tools to differentiate from, so it is clear but not exceptional.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no indication of when to use this tool, prerequisites, or conditions that would select an alternative. With no siblings there is little routing ambiguity, but there is still zero usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
list_entriesLog and read REPS time logs, properties, and categories via MCP. Requires REPSLog Premium.
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