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Flightmussy

FilmMap MCP server

Search films, series and games by name

search_productions

Search productions by partial, accent-insensitive title match. Filter by medium to identify the right film, TV show, game, or anime before looking up filming or setting locations.

Instructions

Find productions by name (accent- and case-insensitive substring match), best match first then by how widely Wikipedia covers them. Filter by kind: film, tv, game or anime. Use it when you are unsure of a title before calling where_was_it_filmed. Games and anime are placed by where they are SET, never where they were filmed; the relation field on every result says which.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoRestrict to one medium (optional)
limitNoMax results (default 10)
queryYesTitle or part of one, e.g. "bond", "star wars"

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations provided, the description carries full behavioral disclosure. It explains the matching rule, the ranking order (best match then Wikipedia coverage), and the subtle set-versus-filmed semantics for games/anime with a relation field on every result. This is significant context beyond what the schema reveals.

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?

Three dense sentences are front-loaded with the primary action and matching semantics, then filtering and usage guidance, then the edge-case behavior for games/anime. Every clause contributes useful information, with no filler or repetition.

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?

Given no output schema and no annotations, the description covers matching, ranking, filtering, usage context, and result semantics well. The only clear gap is not enumerating the possible relation field values or mentioning manga in the prose, though the schema mitigates the latter.

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?

Schema description coverage is 100%, so baseline is 3. The description adds extra meaning for query by disclosing accent/case-insensitive substring behavior and ranking, and explains the relation field's role. Minor deduplication: the description's kind list omits manga even though the schema includes it, slightly reducing completeness.

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?

States a specific verb and resource ('Find productions by name') and gives concrete matching semantics (accent- and case-insensitive substring match). It also differentiates itself from where_was_it_filmed as the correct first step before resolving a title. The title omits anime/manga, but the description's kind filter and schema enum recover full scope.

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

Usage Guidelines5/5

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

Explicitly says 'Use it when you are unsure of a title before calling where_was_it_filmed', naming the sibling alternative and the trigger condition. It also gives critical guidance that games and anime are placed by where they are SET, not where they were filmed, preventing misuse of the tool.

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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