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Daemon-Killer

prospective-memory

list_cultural_items

Retrieve queued movie and cultural recommendations from your leisure ledger, filtered by genre, platform, media type, or status.

Instructions

List movie and cultural recommendations queued in the leisure ledger.

Input Schema

NameRequiredDescriptionDefault
genreNo
limitNo
queryNo
statusNopending
platformNo
media_typeNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.1

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses very little. It does not state that the operation is read-only, that results default to status='pending' (a significant hidden filter), that limit defaults to 50, or anything about ordering or pagination.

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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity reflects under-specification rather than disciplined editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no explanation, but the tool has six undocumented filter parameters, no annotations, and an undisclosed default status filter. For a filtered-list tool with that much surface area, the description leaves the agent without the information needed to call it correctly.

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

Parameters2/5

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

Schema description coverage is 0% across six parameters, so the description must compensate and largely does not. 'Movie and cultural' loosely hints at media_type, but genre, query, platform, status, and limit are never explained, and the non-obvious default of status='pending' is not surfaced anywhere.

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 gives a specific verb ('List') and a specific resource ('movie and cultural recommendations queued in the leisure ledger'), which distinguishes it from the write-side sibling capture_cultural_item. It stops short of naming any sibling or clarifying scope boundaries, but an agent can still tell what this tool returns.

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?

There is no guidance on when to use this tool versus alternatives, no mention of the capture/list pairing, and no indication of when filtering parameters should be applied. The agent is left to infer usage entirely from the verb.

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