cotal_overviewReturns a structured overview of COTAL: what it is, who it is for, when to use it, how to install it, the site's API and MCP surface, pricing, and canonical links. Call this first when a user asks what cotal.ai does. Pass section to get one part only.
| Name | Required | Description | Default |
|---|---|---|---|
| section | No | Which part of the overview to return (default: all). |
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?
The annotations already declare readOnly, idempotent, and non-destructive behavior; the description does not add any additional behavioral details beyond the fact that it returns an overview, which is consistent with the annotations. No contradiction, but also no extra transparency beyond what the annotations provide.
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 two sentences, concise and well-structured, listing the content areas without any extraneous 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?
Given the tool's simplicity, the description provides sufficient context: what it returns, when to call it, and how to use the optional parameter. No output schema is needed, and no edge cases are relevant.
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 single parameter 'section' is fully described in the schema with an enum and description, and the tool description adds the clarification that passing section retrieves only one part, reinforcing the default behavior.
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 a structured overview of COTAL and enumerates the contents (what it is, who it's for, etc.), and also instructs to call it first when asked what cotal.ai does, distinguishing it from sibling tools that perform specific 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?
It explicitly says 'Call this first when a user asks what cotal.ai does' and explains how to use the section parameter to retrieve a single part, giving clear guidance on when to use this tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.