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search_images

Google Images search. Returns direct image URLs with dimensions, thumbnails, and source pages. Price: $0.015

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum results to return
queryYesSearch query

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed9 schema fields changed
    • addedInput schema / properties / limit / default
      Added value: +10
    • changedInput schema / properties / limit / description
      Previous value: -"Number of results (default: 10, max: 20)"New value: +"Maximum results to return"
    • addedInput schema / properties / limit / example
      Added value: +10
    • addedInput schema / properties / limit / maximum
      Added value: +20
    • addedInput schema / properties / limit / minimum
      Added value: +1
    • changedInput schema / properties / query / description
      Previous value: -"Image search query"New value: +"Search query"
    • addedInput schema / properties / query / example
      Added value: +"x402 payment protocol"
    • addedInput schema / properties / query / maxLength
      Added value: +500
    • addedInput schema / properties / query / minLength
      Added value: +1
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the return shape (direct image URLs with dimensions, thumbnails, source pages) and the per-call cost ($0.015), which are genuinely useful behavioral facts, but it says nothing about rate limits, auth requirements, or pagination beyond the limit parameter.

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?

Two short sentences, front-loaded with what the tool is and what it returns, followed by the cost. Nothing is padded and nothing important is buried.

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?

With no output schema and no annotations, the description adequately covers the two things an agent most needs: the return contents and the price. It is thin on safety profile (read-only is only implied) and lacks any routing guidance versus sibling search tools, but for a 2-parameter read call it is largely sufficient.

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 both parameters (query, limit) are already documented in the schema. The description adds no syntax, format, or constraint detail beyond that, so the baseline 3 applies.

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 and resource ('Google Images search') and immediately says what it returns, which cleanly separates it from the other search_* siblings like search_web and search_news. It does not explicitly name an alternative, but the resource qualifier makes the domain unambiguous.

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, no statement of when to prefer this over search_web or screenshot, and no prerequisites. Usage is only implied by the word 'Images'; an agent must infer the routing decision 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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