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Search stock

search_stock
Read-only

PROJECT-SCOPED: this call acts only on the explicit project_id and returns the project identity with its result. SEARCH for b-roll images/clips the user does not have. Two kinds of query work: generic visuals ('a busy city', 'ocean waves') AND — with kind='photo' — REAL topical subjects ('Elon Musk', 'SpaceX Starship', a company, a product) from Wikimedia/Flickr's photo record; relay each photo's license line when it carries an obligation. For real topical VIDEO use find_footage instead. Returns a VISUALLY REVIEWABLE, provider-diverse grid (Pexels/Pixabay/Openverse when configured), not a homogeneous first-provider dump. Candidates ONLY: nothing is downloaded and nothing enters the video. kind 'video' (default) or 'photo'. orientation defaults to the project's output frame, so a 9:16 edit gets vertical footage. Then call add_stock_media with the best id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
countNo
queryYes
project_idYesRequired immutable scope for this call. Copy the id from list_projects/open_project/project_state; the active-project pointer is never used to guess.
orientationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false; the description meaningfully adds that this call is project-scoped, returns no downloads, never inserts into the video, returns a provider-diverse grid, relays license obligations, and defaults orientation to the project's output frame. These behaviors are not inferable from annotations or schema.

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 front-loaded with the most important scoping constraint and every sentence adds operational value. It is somewhat dense and uses heavy capitalization/parentheticals, but it is not padded or repetitive.

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?

For a tool without an output schema, it gives a useful high-level return contract (visually reviewable, provider-diverse grid), safety guarantees, and a natural follow-up action. The main gap is the undocumented count parameter and a somewhat vague exact return shape.

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 only 20%, so the description must compensate. It explains the query semantics, the kind enum and default, orientation defaulting, and project_id scoping. However, the count parameter is left unexplained, so its role or limit remains ambiguous.

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 action and resource: 'SEARCH for b-roll images/clips the user does not have,' scoped to an explicit project_id. It also distinguishes itself by pointing topical video to find_footage and by describing a provider-diverse result grid, so an agent can tell it apart from related search tools.

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?

The description is explicit about when to use it: generic visual queries, and photo queries for topical subjects via kind='photo'. It also names the alternative for real topical video ('use find_footage instead') and chains to the next step ('Then call add_stock_media with the best id').

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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