get_catalog_meta
Return aicoolies collection counts and freshness timestamps. Equivalent to GET /api/agents/meta. Use this before pulling the full context payload.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return aicoolies collection counts and freshness timestamps. Equivalent to GET /api/agents/meta. Use this before pulling the full context payload.
| 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 readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds the REST-endpoint mapping and the lightweight pre-flight framing, which is useful context, but says nothing about return format, rate limits, or cost beyond the vague 'before pulling the full payload' hint.
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, zero waste, with the returned payload front-loaded and the usage rule second. The REST mapping is compact and earns its place as a mental model for the agent.
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, the description does the necessary work of naming what comes back (counts and timestamps), and annotations cover the safety profile. It is adequate for a trivial no-arg read; only a note on response shape or size limits would improve it.
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; the baseline for a 0-param schema applies. No parameter-related information is missing.
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 ('Return') and resource ('collection counts and freshness timestamps'), so the agent knows exactly what it gets back. The REST equivalence ('GET /api/agents/meta') and the phrase 'full context payload' implicitly contrast it with get_catalog_context, but the sibling is never named outright, so differentiation is inferred rather than stated.
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?
'Use this before pulling the full context payload' gives a clear ordering/context rule that positions it as a cheap pre-flight check ahead of get_catalog_context. It stops short of naming that alternative or stating any when-not condition, so it is clear context without explicit exclusions.
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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