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serper_lens

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Google Lens via Serper — reverse search from an image.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "serper_lens"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYespublic URL of the image to analyse — refused under the project's `excluded_url_prefixes`, which also drop the results.
_orgNoOrg (id) de CET APPEL. `oto_list_orgs()`.
_groupNoÉquipe (id) de CET APPEL, sous son org parente.
_run_idNoOBLIGATOIRE à chaque appel dès `run_start` ou `data_claim_next` : sans lui, l'écriture sur une ligne réservée est refusée. Hérité seulement si le serveur tient un run actif — n'y compte pas.
countryNocountry code (default "fr").fr
_projectNoProjet (id) de CET APPEL — jeton PRIMAIRE. `oto_project(op='list')`.
languageNolanguage code (default "fr").fr
_instanceNoInstance de connecteur PRÉCISE (un credential exact). `oto_instance(op='list')`.

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

C2.9/5.0
Behavior2/5

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

readOnlyHint=true already tells the agent this is a safe read, so the description needs to add cost, quota, or result-shape context — it adds none. It says nothing about what comes back (visual matches, sources, similar images) or about the excluded-URL refusal behavior that only appears in the 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?

A single well-formed sentence, front-loaded with the provider and the operation. Nothing is wasted, though it is arguably under-specified rather than genuinely concise.

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

Completeness2/5

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

With eight parameters, a refusal rule in the schema, and no output schema, the description should explain what a result set looks like and how errors surface. It covers only the bare operation, leaving the agent to guess at return shape and failure modes.

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 all eight parameters, including the url refusal rule and the Oto context fields, are already documented. The description adds no meaning beyond that, so the baseline of 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?

"Reverse search from an image" states a specific verb and resource, and naming Google Lens/Serper pins down the exact capability. It is distinguishable from serper_search and serper_scrape, though the description never names those siblings explicitly.

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 statement of when to use this instead of serper_search, serper_scrape, or web_image, and no prerequisites or exclusions. The agent must infer from the one-line purpose that this is the image-input path.

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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