call_tool

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must itself disclose behavioral traits. It only says 'call', which implies execution but gives no detail about side effects, return values, error handling, or whether the operation is safe or potentially destructive. For a meta-tool that can invoke arbitrary tools, this is a significant omission.

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 single sentence is efficient and front-loads the verb and resource. However, it is under-specified: conciseness is not the issue, but the structure omits crucial information about parameters and behavior. It earns a pass for being brief and orderly, but fails to use its brevity wisely.

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 generic tool-calling tool with no output schema and no annotations, the description is incomplete. It references the discovery tools that likely provide schemas, which is a good pointer, but it does not explain what arguments should look like, whether toolset_name is required for disambiguation, or what the response contains. An agent would need additional context from list_toolsets or describe_toolset to use this correctly, but the description alone is insufficient.

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?

Schema description coverage is 0% and the description does not mention any of the three parameters (tool_name, toolset_name, arguments) at all. The agent is left to infer everything from parameter names and the generic phrase 'through list_toolsets or describe_toolset'. This is inadequate for a tool where arguments are free-form and toolset_name is optional but not explained.

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 ('call') and a precise resource ('a tool discovered through list_toolsets or describe_toolset'). It clearly distinguishes this tool from other invoked tools in the sibling list (e.g., ghostrigger_call_mcp_tool, call_bridge_command) by tying it to the discovery mechanism. This is far from a tautology and leaves no ambiguity about what the tool does.

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?

It states a clear context for use: when you have a tool that was discovered via list_toolsets or describe_toolset. While it does not explicitly mention alternatives or exclusions, the reference to those specific discovery tools is a strong signal that this is the intended calling path for tools obtained that way. The guidance is clear enough even without an explicit 'when not to use' clause.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.