Skip to main content
Glama

list_guides

List narrative guide sections for the Pancake API, covering authentication, rate limits, usage flow, webhooks, events, suspensions, and best practices. Use guide IDs to fetch full documentation.

Instructions

List the Pancake API guide sections (narrative documentation).

These cover concepts rather than a single endpoint: authentication and tokens, rate limits, the recommended API usage flow, webhook setup, event types, suspension rules, and best practices. Pass a guide id to get_guide for the full text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does mention that the guides cover authentication, rate limits, usage flow, webhooks, etc., but does not explicitly state the return format, whether it is read-only, or if there are any rate limits. This is adequate but not fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded: the first sentence states the purpose, the second expands on content and provides a pointer to get_guide. Every sentence earns its place with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple listing tool with no parameters and no output schema, the description is quite complete. It tells what the list contains, lists example topics, and directs to get_guide for full text. It could mention the return format explicitly, but this is not essential given the low complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. The description adds useful context about the list content (concepts and topics) without needing to explain parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'List the Pancake API guide sections (narrative documentation).' This specifies the verb (list), the resource (guide sections), and clarifies these are narrative docs rather than endpoints, distinguishing it from sibling tools like list_endpoints.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains that these guides cover concepts rather than a single endpoint, and explicitly points to get_guide for the full text. This provides clear context for when to use this tool versus alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/netfull95/pancake-api-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server