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Search Datasets

search_datasets
Read-onlyIdempotent

Search City of Mobile GIS open geospatial datasets (parcels, zoning, public works & city services) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service url — pass that url to query_layer / layer_info.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax datasets (1-50, default 20).
queryNoKeyword(s), e.g. "parcels", "crime", "flood zones".
org_idNoOptional ArcGIS orgId to override the default (City of Mobile GIS).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "query": "parcels"
      +  },
      +  {
      +    "limit": 10,
      +    "query": "zoning flood"
      +  }
      +]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds valuable context by specifying the exact return fields (name, summary, record_count, owner/org, url) and the data domain (City of Mobile GIS). It does not mention pagination or rate limits, but the schema covers the limit parameter, and the annotations cover the read-only behavior, so the description provides adequate extra transparency beyond the structured data.

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 two sentences long and front-loaded with the primary action ('Search City of Mobile GIS open geospatial datasets by keyword'), followed by a compact enumeration of return fields and a clear pointer to dependent tools. Every sentence contributes essential information without unnecessary repetition.

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?

Although there is no output schema, the description explicitly lists the return fields, which is critical given that a return format schema is lacking. It also provides domain context (parcels, zoning, public works & city services) and explains how to use the output url, making the tool self-contained for the user. Combined with the schema and annotations, the description is comprehensive for a search tool.

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?

The schema has 100% coverage for all three parameters (query, limit, org_id), each with a clear description. The tool description does not add parameter-specific details beyond what the schema already provides; it only restates the keyword search concept and provides examples of dataset categories, which maps to the query parameter but does not enrich the semantics further. Baseline of 3 is appropriate.

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 uses the specific verb 'Search' with a clear resource ('City of Mobile GIS open geospatial datasets'), lists example categories, and explains the return payload (name, summary, record_count, owner/org, url). It distinguishes itself from siblings like query_layer and layer_info by explicitly stating that the returned url should be passed to those tools, confirming its role as a discovery tool.

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?

The description clearly implies when to use the tool: to find datasets by keyword. It also directs the user to pass the resulting url to query_layer/layer_info, providing a clear next-step alternative. However, it does not explicitly state when not to use search_datasets or list other alternatives beyond those two sibling tools, so it stops short of a 5.

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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