Skip to main content
Glama
Daemon-Killer

prospective-memory

capture_cultural_item

Records a movie, show, documentary, or book recommendation in a ledger with details such as creator, platform, genres, and notes for later reference.

Instructions

Capture a cultural or leisure recommendation (movie, show, documentary, book) into the ledger.

Input Schema

NameRequiredDescriptionDefault
notesNo
titleYes
genresNo
creatorNo
runtimeNo
platformNo
media_typeNomovie
release_yearNo
recommended_byNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.1

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It says the item is captured 'into the ledger,' implying persistence, but does not disclose permissions, duplicate handling, whether an existing title is updated or rejected, or what the response contains. For a write operation with nine parameters, this is a significant gap.

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?

The description is a single front-loaded sentence with no wasted words. Its brevity is appropriate, though it reflects under-specification rather than an efficient summary of rich content.

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?

The tool is a write operation with nine parameters, no annotations, and zero schema description coverage. Although an output schema exists and need not be explained, the description omits usage routing, parameter semantics, and mutation behavior, leaving the agent without enough context to call it confidently.

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%, so the description must compensate for nine undocumented parameters. It only hints at media_type values through the examples 'movie, show, documentary, book' and says nothing about notes, genres, creator, runtime, platform, release_year, or recommended_by.

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

Purpose5/5

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

The description states a specific verb and resource: 'Capture a cultural or leisure recommendation' and gives concrete examples '(movie, show, documentary, book)' plus the destination 'into the ledger.' This clearly distinguishes it from siblings like list_cultural_items and capture_task.

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?

The domain is implied by 'cultural or leisure recommendation,' suggesting it is for media items rather than tasks or reminders. However, there is no explicit when-to-use guidance, no exclusions, and no named alternative such as capture_task for non-cultural items.

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