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 context about the return content (installed MCPs, connection status, accounts, catalog counts), which is useful behavioral information about what the tool reports. No contradictions with 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?
A single, well-structured sentence that front-loads the main purpose ('Returns the current toolkit state') and then lists the details. No wasted words, perfect length for the tool's simplicity.
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 tool with no parameters, rich safety annotations, and no output schema, the description fully covers what the tool does: it lists the key data points returned. Given the tool's simplicity, this is complete and adequate—no missing critical information.
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 baseline per instructions is 4. The description does not need to explain parameters since there are none. It enriches the understanding by detailing what the tool returns, which is more relevant than parameter info here.
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 clearly states the tool returns the current toolkit state, listing specific components (MCPs, connection status, accounts, catalog counts). It uses a specific verb 'returns' and distinguishes from sibling tools like show_version (which likely reports version) by focusing on state rather than version.
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 implies usage when one needs an overview of the toolkit's state. It doesn't explicitly mention alternatives or when not to use it, but the purpose is clear enough that the use case is obvious. No direct exclusions are stated, but the context of sibling tools (authenticate, connect, etc.) makes the differentiation implicit.
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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