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QQuickpick

get_title_details

Look up a SPECIFIC, named movie or TV show by title (e.g. "what is the score of Practical Magic", "tell me about the new Best of the Best on Netflix"). Use this instead of general web knowledge or search_titles when the user names one particular title -- it returns QQuickPick's own data (score, runtime, genres, streaming availability in the given country, and for movies the same "facts" object as search_titles: awards, based-on, franchise, critics-vs-viewers verdict). Unlike search_titles, a result is returned even if it is not currently streaming anywhere in the given country -- streaming_on is just empty in that case, this is a lookup tool, not a discovery/availability filter. If nothing matches, no result is returned and a warning explains why.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo"auto" (default) checks both movies and TV shows and returns whichever is the better match.auto
yearNoRelease year, to disambiguate between titles that share a name (e.g. a remake). Omit if unknown.
titleYesThe title to look up, e.g. "Parasite" or "The Batman".
countryYesISO 3166-1 alpha-2 country code (e.g. "NL", "US", "GB") for streaming availability. This cannot be detected automatically -- if the user's country has not been stated in this conversation, ASK the user before calling this tool rather than guessing.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It states the tool returns QQuickPick's own data including score, runtime, genres, streaming availability, and for movies the 'facts' object. It also transparently explains that streaming_on may be empty if not available and that no result is returned with a warning if nothing matches. No annotations contradict this.

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 dense but well-structured, front-loading the core purpose and then adding distinctions and edge cases. It is longer than strictly necessary but every sentence carries functional value, and it avoids redundancy.

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

Completeness5/5

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

Given four parameters and no output schema, the description covers what the tool returns, how it differs from the sibling, and the failure behavior. It also implies the need for a country parameter. Nothing essential is missing for an agent to invoke it correctly.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all four parameters. The description adds examples (e.g., 'Practical Magic') and explains the tool's overall purpose, but does not add meaning beyond what the schema provides for individual parameters. Baseline 3 is appropriate.

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 clearly states the tool looks up a specific named movie/TV show by title, with concrete examples. It explicitly distinguishes itself from search_titles by positioning it as the choice when a user names one particular title, rather than a discovery tool.

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?

It explicitly says 'Use this instead of general web knowledge or search_titles when the user names one particular title' and contrasts its behavior with search_titles (returns results even if not streaming, whereas search_titles filters by availability). This gives clear when-to-use and when-not-to-use guidance.

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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