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benthomasson

expert-mcp-server

by benthomasson

list_entries

List analysis entries, reports, findings, or assessments. Filter by topic slug or project name to narrow results.

Instructions

List analysis entries (reports, findings, assessments).

Args: topic: Filter by topic slug, or empty for all entries project: Project name or UUID (uses default if empty)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNo
projectNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It implies a read-only list operation but lacks details on pagination, limits, ordering, or access constraints. The term 'list' suggests non-destructive, but no explicit safety guarantees.

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 description is concise, front-loads the purpose, and uses a clear argument list structure with two bullet points. No extraneous information.

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?

An output schema exists, so return format is covered. The description covers core purpose and parameter usage. However, it lacks guidance on result ordering, empty results, or when to use this over similarly-named siblings like 'search' or 'list_beliefs'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by explaining both parameters ('topic' for filtering by slug, 'project' for name/UUID). This adds meaning beyond the bare schema, though examples or format constraints would strengthen it.

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?

The description clearly states that the tool lists analysis entries, specifying types (reports, findings, assessments). It distinguishes itself from the sibling 'get_entry' by implying a list operation, but does not explicitly contrast with siblings.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives like 'search' or 'get_entry'. The description only states what it does without context for selection.

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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