Gartner categories
run_gartner_categoriesGet the full Gartner Peer Insights category and market taxonomy. Flat 5 points per successful run.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
run_gartner_categoriesGet the full Gartner Peer Insights category and market taxonomy. Flat 5 points per successful run.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful cost context ('Flat 5 points per successful run'), but says nothing about return shape or size. A 3 is appropriate given annotations carry the behavioral load.
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?
Two short sentences, purpose front-loaded and cost stated second. Nothing extraneous; every clause earns its place.
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?
A simple, parameterless read tool whose annotations cover safety and whose description states scope and cost. With no output schema the description could say more about what the taxonomy returns, but for this low-complexity tool it is largely sufficient.
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?
The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies for a parameterless tool.
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?
States a specific verb and resource: 'Get the full Gartner Peer Insights category and market taxonomy.' An agent can tell it returns a taxonomy rather than products or vendors. It doesn't explicitly distinguish itself from run_gartner_markets_search, which also deals with markets, so sibling differentiation is only partial.
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?
There is no explicit when-to-use or when-not-to-use guidance. 'Full taxonomy' implies this is a browsing/entry-point call, but nothing says how it relates to run_gartner_markets_search or when to prefer one over the other, leaving the agent to infer.
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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