Gp Get Count

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is clear. The description adds '读取' (read) and '写入和路径限制以服务能力为准' indicating write/path limits depend on service capability, which is vague but hints at constraints. It doesn't describe what is counted or error behavior beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence, no filler, but also no useful detail. Conciseness is fine; the problem is under-specification rather than verbosity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists so return values needn't be explained, but for a 1-param tool with 0% schema coverage the description should at least define dataset_path expectations and clarify counting semantics. Neither is present.

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

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

Schema coverage is 0% for the single dataset_path parameter, so the schema provides no meaning. The description says nothing about what dataset_path expects (feature class, table, path format), leaving the required parameter completely undocumented.

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

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

Description restates the name 'gp get count' plus a vague claim of returning 'verifiable structured results'. It doesn't explain that this counts features/rows in a dataset, leaving the agent to infer from the name alone. Siblings like arcgis_pro_gp_statistics and arcgis_pro_layer_selection_count make the specific purpose unclear without opening the schema.

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

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

No guidance on when to use this vs alternatives. Nothing tells the agent whether this counts features, rows, or works for tables and feature classes. No mention of dataset_path prerequisites or supported dataset types.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.