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Crawlora MCP

brave_images

Read-only

Brave image search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
CountNoResults to return, default 10, clamped to 1..50.
QueryYesSearch query. Required, e.g. openai.
DateToNoCustom end date in YYYY-MM-DD; required when time_range=custom, must pair with date_from.
OffsetNoZero-based Brave result page; minimum 0, default 0.
CountryNoBrave result country, default us. Allowed values: all, ar, at, au, be, br, ca, ch, cl, cn, de, dk, es, fi, fr, gb, gr, hk, id, in, it, jp, kr, mx, my, nl, no, nz, ph, pl, pt, ru, sa, se, sg, tr, tw, us, za.
DateFromNoCustom start date in YYYY-MM-DD; required when time_range=custom, must pair with date_to.
LanguageNoBrave UI language, default en-us. Allowed values: de-de, en-ca, en-gb, en-in, en-us, fi-fi, fr-ca, fr-fr, ja-jp, pt-br, sq-al, sw-ke, zh-tw.
TimeRangeNoPreset time filter. Allowed values: any, day, week, month, year, custom.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing on top of that — no note about result sources, licensing, rate limits, or image resolution/format characteristics — so it contributes no behavioral value beyond the structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A four-word phrase is front-loaded and free of waste, but for an 8-parameter tool it reads as under-specification rather than deliberate conciseness. Nothing is padded, yet nothing is earned.

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

Completeness3/5

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

With a full output schema and 100% parameter coverage, the description need not explain returns or params, so the minimum is met. However, it lacks any routing context versus the many sibling image/news/web search tools, which is the one thing only the description can supply.

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% with 8 well-documented parameters (Count clamping, DateFrom/DateTo pairing, Country/Language enums, Offset paging), so the baseline is 3. The description adds zero parameter meaning beyond the schema, which is acceptable here but earns nothing extra.

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?

States a specific verb+resource ('image search') and names the vendor, which distinguishes it from siblings such as brave_search, brave_news, brave_videos, and from other image tools like bing_images and duckduckgo_image. It does not, however, explain what makes it different from those competing image 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 Guidelines2/5

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

There is no when-to-use guidance at all: no mention of when to pick brave_images over bing_images, duckduckgo_image, or yahoo_search_images, and no prerequisites or exclusions. Usage is only inferable from the tool name itself.

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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