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Layer Info

layer_info
Read-onlyIdempotent

Get an ArcGIS Feature/Map Service layer's schema by url: fields (name + type), geometry type, total record count, and capabilities.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "https://gis.tulsagov.org/arcgis/rest/services/PublicData/Parcels/FeatureServer/0"
    },
    "name": "layer_info"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesFeature/Map Service layer url, e.g. ".../FeatureServer/0".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered by structured data. The description contributes the return payload description (field names/types, geometry type, record count, capabilities), but says nothing about authentication against secured services, invalid-url behavior, or rate limits.

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?

One front-loaded sentence that names the verb, the resource, and the exact contents returned, with zero filler. Every clause 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?

For a simple one-parameter tool with no output schema, the description usefully enumerates what comes back, and annotations cover safety semantics. It falls short only on edge-case behavior (non-existent layers, secured services) that an agent might need.

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?

With a single parameter at 100% schema description coverage, the schema already documents the url format and supplies an example. The description's 'by url' adds no syntax or format detail beyond what the schema carries, 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?

The description pairs a specific verb ('Get') with a specific resource ('an ArcGIS Feature/Map Service layer's schema') and even enumerates the retrieved content (fields, geometry type, record count, capabilities). That enumeration implicitly separates it from the data-returning sibling query_layer, though no sibling is named explicitly, which keeps it short of a 5.

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?

It says how to call it ('by url') but never when to reach for it versus query_layer, search_datasets, or search_within, nor what preconditions the url must satisfy. The usage context is only inferable, and no alternative is mentioned.

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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