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, covering the safety profile. The description adds value by disclosing the exact content of the returned state (installed MCPs, connection status, accounts, catalog tool counts), but doesn't mention things like error behavior or fallback responses.
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?
A single sentence that is information-dense but immediately clear, front-loading the verb 'Returns' and then enumerating the response contents. Every clause provides value with no filler.
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 parameterless, read-only info tool with strong annotations and no output schema, the description completely covers what an agent needs: what the function does and what information it returns. No additional context is needed given the tool's simplicity and the annotations already provided.
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 0 parameters and schema coverage is 100% (vacuously). The description accurately reflects the parameterless nature by using 'Returns... state', implying it takes no input. Nothing more needed from the description for parameter understanding.
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') and enumerates exactly what is included ('installed MCPs... connection status... accounts connected... how many catalog tools each exposes'). This clearly differentiates it from siblings like `show_version` or `marketplace`, making the tool's purpose unmistakable.
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 implicitly signals this is a read-only status/discovery tool (use for checking toolkit state), which is distinct from siblings like `authenticate` or `connect`. However, it doesn't explicitly state when to use this versus `show_version` or `marketplace`, leaving some ambiguity about tool selection boundaries.
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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