tc_categories
Token counts per category.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Token counts per category.
| 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 and openWorldHint=false, so the safety profile is covered structurally. The description adds nothing beyond that — no statement about whether counts are global or scoped, no freshness or aggregation semantics, no hints on how categories are derived.
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?
It is a single fragment with no wasted words, but this is under-specification rather than conciseness. It reads as a label rather than a usable description, so it neither bloats nor adequately informs.
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?
With no output schema, no parameters, and no annotations beyond safety hints, the description is the only place semantics could live — yet it says nothing about what a 'category' is, what token scope is covered, or how results are shaped. For a zero-arg reporting tool the risk is lower, but the agent still cannot predict the response.
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 the baseline is 4. The description correctly implies no input is required to retrieve category-level counts.
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?
The fragment 'Token counts per category' identifies the resource (token counts) and a grouping dimension (category), which is more than a pure tautology. However it has no verb, no scope statement, and nothing that distinguishes it from siblings like tc_ledger, tc_series, or tc_status, which are all similarly terse.
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 when-to-use guidance, no statement of prerequisites, and no reference to any alternative tool. With 15 sibling tools that all touch tokens, the agent gets no help deciding when this one is the right call.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.