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inspect_svg_multimodal_surface

Inspect an SVG document offline in RAM for flat OCR text vs. affine-rotated Vision-LLM text, QR links, and clickable CUA hotspots.

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": {
      "svg_text": "<svg_text>"
    },
    "name": "inspect_svg_multimodal_surface"
  }
}

Input Schema

NameRequiredDescriptionDefault
svg_textYesRaw SVG markup to inspect safely without executing scripts.

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?

With no annotations, the description carries the full burden, and it does disclose meaningful behavior: processing happens offline in RAM rather than via network or disk, and the targets of analysis are enumerated. It stops short of stating that scripts are never executed, what the response looks like, or any size/format limits on the input.

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?

One front-loaded sentence with the verb first and no filler. It is dense with domain jargon ('affine-rotated Vision-LLM text', 'CUA hotspots') but every clause names a distinct analysis target rather than padding.

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?

For a single-parameter read-only inspection tool this covers the input and the analysis dimensions, but with no output schema the description should say what the agent receives back (per-region text, link list, hotspot coordinates). That gap leaves the agent unable to anticipate the result shape.

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 coverage is 100% and the single parameter svg_text is documented there, including the safety note about not executing scripts. The description adds no format, encoding, or size guidance beyond the schema, 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?

States a specific verb (Inspect) and resource (SVG document) plus the concrete targets of inspection: flat OCR text vs. affine-rotated Vision-LLM text, QR links, and clickable CUA hotspots. This is far more specific than the sibling render_sanitized_mermaid_svg, though it never names a sibling to contrast against.

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 or when-not-to-use guidance, and no alternative is named. The agent must infer from the phrase 'offline in RAM' that this is the safe path for untrusted SVG markup, but nothing explicitly routes it away from render_sanitized_mermaid_svg or any other tool.

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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