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Look at a chart the trader attached (the id is in the studio state). Read what is on it — instrument, timeframe, levels, the pattern they point at — and say plainly that numbers read off a picture are READ, not measured; check the ones that matter against the tape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesthe attached image's id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, yet the description never explains why this access is not read-only or what side effect occurs. It does add useful epistemic guidance (numbers read off a picture are READ, not measured; verify against the tape), which is genuine behavioral context beyond the annotations, but side-effect and permission disclosure is absent.

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?

It is one sentence, front-loaded with the action, so it is not bloated. But the em-dash-laden second half ('say plainly that numbers read off a picture are READ, not measured...') is dense and hard to scan, mixing invocation guidance with tutoring.

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 no output schema, the description should signal what comes back (an image for the agent to view? metadata?), and it only obliquely implies viewing. For a single-parameter tool the invocation side is covered, but the return side is left to inference.

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% (baseline 3), and the description adds provenance the schema lacks: the id is found in the studio state, telling the agent where to source the value rather than just what type it is.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

It conveys the resource (a chart the trader attached) and an action (look at / read it), which is more than a tautology on the name 'image'. However it never states mechanically what the tool does — fetch image bytes, return a description, or register the image into context — leaving ambiguity against siblings like chart_image and chart_state.

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

Usage Guidelines3/5

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

It gives real context for invocation: the id lives in the studio state, and it is used when a trader has attached a chart. It stops short of naming alternatives (chart_image, chart_state) or stating when-not-to-use, so the routing signal is implied rather than explicit.

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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