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, so the tool's safety is clear. The description adds value by detailing exactly what state information is returned (MCPs, connection status, accounts, tool counts), which goes beyond the annotation's binary flags. No contradictions found.
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, well-formed sentence that efficiently enumerates the returned content. Every clause adds concrete detail without redundancy, and the most important element (state return) is front-loaded. No filler or unnecessary information.
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?
This is a low-complexity informational tool with no parameters and no output schema, but the description fully specifies what the user will receive. It covers all relevant aspects of the tool's behavior and output, making it complete for the agent to decide whether 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, and schema coverage is 100% (trivially). With no parameters to document, the description is not expected to elaborate on inputs. The baseline for zero-param tools is 4, and the description appropriately focuses on the output rather than parameters.
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 a precise resource ('current toolkit state'), then enumerates the exact contents (installed MCPs, connection status, associated accounts, and catalog tool counts). This clearly distinguishes it from siblings like show_version (version only) and connect/authenticate (actions).
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 an informational use case but does not explicitly state when to prefer this tool over siblings, nor does it mention prerequisites or complementary usage (e.g., checking state before connecting). The purpose is clear, but no direct guidance or exclusions are provided.
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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