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agledger-ai

@agledger/mcp-server

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by agledger-ai

Discover AGLedger API

agledger_discover
Read-onlyIdempotent

Discover API health, your identity, available scopes, and a quickstart workflow. Call this first to understand your access and next steps.

Instructions

Returns API health, your identity, available scopes, and a quickstart workflow. Call this first. The response tells you who you are and what to do next.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already establish the tool as read-only, idempotent, and non-destructive. The description adds useful context by disclosing the response contents (health, identity, scopes, quickstart) and its orientation purpose. This is sufficient for a 0-parameter discovery tool, though it omits response format details.

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 two sentences, front-loaded with the return statement and followed by actionable guidance. Every word contributes; there is no redundancy or unnecessary detail.

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

Completeness5/5

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

For a 0-parameter tool with strong annotations, the description fully covers purpose, output contents, and usage sequencing. Even without an output schema, it clearly communicates what the caller can expect and why this tool should be used first.

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 no parameters, so schema coverage is trivially 100%. The description correctly does not attempt to document nonexistent parameters, meeting the baseline for this dimension.

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

Purpose4/5

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

The description uses a specific verb ('Returns') and clearly enumerates the resources (API health, identity, scopes, quickstart workflow). It also states 'Call this first,' positioning it as an entry point, though it does not explicitly contrast it with sibling tools.

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

Usage Guidelines4/5

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

'Call this first' provides explicit contextual guidance for when to invoke the tool, and 'the response tells you what to do next' implies a sequencing role. It does not mention alternatives or exclusion criteria, but the context is clear enough for this simple discovery endpoint.

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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