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td_capture_and_analyze

Read-onlyIdempotent

Inspect a TOP node by capturing its current frame, cooking information, and error state; optionally add AI analysis for deeper insight.

Instructions

Capture a TOP frame together with cooking + error state, plus optional AI analysis.

Use this when you want one call that folds the screenshot together with cooking info and node errors (and, if sampling is supported, an AI read of the frame). Prefer td_screenshot for a bare inline frame; prefer td_capture_frame for a metadata-first capture without the extra cooking/error probes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesPath to TOP node to capture.
analyzeNoRequest AI analysis if sampling is supported.
qualityNoJPEG quality 0.0-1.0.
compare_withNoOptional resource URI to compare against.
analysis_promptNoCustom analysis prompt.
confirm_image_captureNoMust be true to execute the capture. This is an explicit acknowledgement that image payloads can consume tokens.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, and destructiveHint. The description adds context about capturing cooking state, errors, and optional AI analysis, which is valuable beyond annotations. No contradictions.

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 sentences with no redundancy. Front-loaded with purpose, then usage guidance and alternatives. Every sentence earns its place.

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?

Given the rich annotations, output schema, and full parameter documentation, the description covers the core behavior and differentiates from siblings. It could mention the confirm_image_capture parameter but schema handles that.

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 parameters are fully documented there. The description does not add additional parameter-level details beyond what the schema already provides, hence baseline score of 3.

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?

Description clearly states it captures a TOP frame with cooking/error state and optional AI analysis. It distinguishes from sibling tools td_screenshot and td_capture_frame, specifying when to prefer each alternative.

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?

Explicitly says 'Use this when you want one call that folds the screenshot together with cooking info and node errors' and provides alternatives for different use cases, though it does not explicitly state when not to use it.

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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