toolkit_info
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, indicating a safe, side-effect-free operation. The description adds valuable detail about what data is returned (MCPs, status, accounts, catalog counts), going beyond what annotations specify. No contradictions exist between description and 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?
The description is a single, information-dense sentence that leads with the verb and lists the returned components in a clear, scannable format. Every word adds value, with no fluff or repetition. It is concise yet comprehensive for a simple info-returning tool.
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?
For a read-only tool with no parameters and no output schema, the description fully covers what the tool does and what it returns. The complexity is low, and the description addresses all relevant aspects, leaving no gaps in understanding. It is complete for an agent to know when and how to invoke 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 has zero parameters, so the schema is empty and there is nothing to clarify. According to the rubric, a score of 4 is the baseline for 0-parameter tools, and no deduction is needed. The description effectively communicates that no input is required.
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 description uses a specific verb ('Returns') and resource ('current toolkit state'), then enumerates exactly what that includes: installed MCPs, connection status, accounts, and catalog tool counts. This distinguishes it from sibling tools like 'show_version' (which likely returns version info alone) and 'authenticate' (which handles auth flows).
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?
The description provides clear context for when to use this tool: whenever you need the current state of the toolkit. It does not explicitly mention alternatives or exclusions, but the context is self-evident given the tool's name and purpose. A small deduction for lacking an explicit 'use this instead of X' comparison, but not necessary for clarity.
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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