gisgp

mapinfo_tab_to_geojson

Convert a MapInfo TAB file set (base64-encoded .zip containing .tab + its .dat/.map/.id sidecar files) to a GeoJSON FeatureCollection. MapInfo TAB is the native format of MapInfo Pro — a multi-file format on disk, always uploaded as a zip.

Returns the GeoJSON FeatureCollection as a JSON string.

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": {
      "mapinfo_tab_zip_base64": "<mapinfo_tab_zip_base64>"
    },
    "name": "mapinfo_tab_to_geojson"
  }
}

Input Schema

Name	Required	Description	Default
`mapinfo_tab_zip_base64`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

AddedSep 15, 2026

TDQS

A4.2/5.0

Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does state the output is a GeoJSON FeatureCollection as a JSON string and emphasizes that the TAB format is multi-file and must be uploaded as a zip. However, it does not disclose error behavior, coordinate system handling, attribute preservation, or malformed input consequences.

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?

The description is concise and front-loaded: the first sentence states the action and inputs, the second clarifies the format context, and the third specifies the output. Each sentence earns its place with no redundant or promotional content.

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?

For a single-parameter conversion tool with an output schema, the description is complete enough. It specifies the required input packaging, the sidecar files, and the return type. The presence of an output schema means the return structure does not need to be re-explained, and no critical invocation detail is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It fully explains the sole parameter's meaning: a base64-encoded zip containing the .tab file and its .dat/.map/.id sidecar files. This is essential semantic information that goes far beyond the parameter name 'mapinfo_tab_zip_base64'.

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?

The description clearly states the tool converts a MapInfo TAB file set to GeoJSON FeatureCollection. It identifies the exact input format (base64-encoded zip with .tab, .dat, .map, .id files) and output format, distinguishing it from sibling conversion tools like geojson_to_mapinfo_tab and shapefile_to_geojson.

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?

The description implies usage: it should be used when you have a MapInfo TAB file set. However, it does not explicitly state when to use this tool versus alternatives, nor does it call out sibling tools like geojson_to_mapinfo_tab for reverse conversion. The input-format requirement makes usage inferable but not 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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