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, destructiveHint=false, and idempotentHint=true, which the description aligns with ('Returns'). The description adds context about the specific content returned (installed MCPs, connection status, accounts, tool counts) but does not disclose any additional behavioral caveats (e.g., auth requirements, rate limits, side effects). This is adequate given the annotation coverage.
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, tightly packed sentence that front-loads the purpose ('Returns the current toolkit state') and lists precise contents without any filler or repetition. Every clause adds value.
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 zero-parameter, read-only informational tool with annotations covering safety, the description fully specifies what the tool returns. There is no output schema, but the description enumerates all relevant data points, making it complete for its simple purpose.
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 the schema is trivially 100% covered. The description adds no parameter information because none is needed. Per the rubric, 0 parameters warrants a baseline of 4.
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 the specific verb 'Returns' and names the resource 'current toolkit state' followed by a precise enumerations of contents (installed MCPs, connection status, accounts, tool counts). This clearly differentiates it from sibling tools like 'authenticate' (an action) and 'show_version' (which likely focuses on version details).
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 for inspecting overall toolkit health and configuration but does not explicitly state when to use it over alternatives or when not to use it. There is clear context (it's a state reporter) but no exclusions or named alternative tools, so it falls into 'implied usage'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.