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Solvecha

Solve a reCAPTCHA v2 image challenge

solve_recaptcha_grid

Solves a Google reCAPTCHA v2 image challenge from a screenshot and returns which tiles to click. Send the instruction text (task), the layout (grid) and the picture(s). Waits for the answer (usually 2 to 6 seconds). Costs one credit per successful solve. After you click and submit, call report_result with Google's verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gridYesChallenge layout: '3x3' or '4x4' (one picture of the whole grid) or '1x1' (single tile pictures, 1 to 9).
taskYesThe instruction text shown to the user, copied in full, for example 'Select all images with buses'.
imagesYesFor 3x3 and 4x4: exactly one picture of the whole grid. For 1x1: one to nine tile pictures. Each is base64 (PNG, JPEG, GIF or WebP; a data: URL is fine) or an https URL.
timeout_secondsNoHow long to wait for the answer, 5 to 90. Default 45. Solves usually take 2 to 6 seconds.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
gridYes
answerYesOne boolean per tile: true means click it.
job_idYesPass this to report_result after you submit the answer.
summaryYes
positionsNoThe same tiles as 'row R, column C' (3x3 and 4x4 only).
selected_tilesYesTiles to click, counted from 1. 3x3 and 4x4: left to right, top to bottom. 1x1: the number of the picture you sent. Empty means: click none (then press Verify or Skip).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnlyHint=false, idempotentHint=false, openWorldHint=true, destructiveHint=false), and the description adds genuinely useful behavior beyond them: a billing model ('costs one credit per successful solve'), expected latency ('waits... usually 2 to 6 seconds'), and a required post-call ('call report_result'). It stops short of describing failure/unsolvable behavior, which would round this out.

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?

Four short sentences, front-loaded with the action, then inputs, then cost/latency, then the required follow-up. Every sentence carries distinct information; nothing is padded.

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?

With an output schema present, the description needn't explain return values, and it correctly focuses on inputs, cost, latency, and the report_result loop. For a stateless single-shot solve tool, nothing an agent needs to invoke it correctly is missing.

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 coverage is 100%, so the baseline is 3, but the description adds a practical semantics hint not in the schema — that solves 'usually take 2 to 6 seconds' — which directly informs how to set timeout_seconds against its 45-second default. The restating of task/grid/images adds no new meaning.

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?

States a specific verb and resource ('Solves a Google reCAPTCHA v2 image challenge from a screenshot') plus the output ('returns which tiles to click'). This cleanly separates it from the sibling solvers (solve_funcaptcha, solve_geetest_slider, solve_text_captcha) without needing schema inspection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

Gives concrete usage context: send task, grid and pictures, and explicitly routes the follow-up step ('call report_result with Google's verdict'). It does not, however, state when NOT to use it or which sibling to pick for a different captcha type, so an agent must infer the boundary from the sibling names.

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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