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AgentShare — Solana DeFi Intelligence (Meteora DLMM) MCP

Service metadata

service_meta
Read-onlyIdempotent

Return API capabilities, rate limits, and integration hints by calling GET /api/v1/meta (that REST call requires no API key). Connecting to this MCP endpoint over Streamable HTTP still requires X-API-Key or Bearer per site policy. Use after you are authenticated to MCP for onboarding and capability checks.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=false, so the safety profile needs no explanation. The description adds real value beyond them by disclosing the auth split: the underlying REST call needs no API key, but the MCP endpoint requires X-API-Key or Bearer per site policy. It doesn't describe the shape of the returned metadata, which is the only behavioral gap.

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

Conciseness4/5

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

There are three sentences, and the primary payload comes first: the return contents and endpoint, followed by auth context. The detail about X-API-Key versus Bearer is borderline operational trivia, but it is genuinely load-bearing for an agent deciding whether this call will succeed.

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 parameterless, read-only introspection tool with no output schema, the description supplies the payload contents, the precondition, and the auth requirements. An agent could call it correctly from this text alone. The only missing piece is a hint about the return format, which is minor here.

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?

This tool has zero parameters, so the schema already provides everything an agent needs on that dimension; the baseline of 4 applies. The description correctly says nothing about inputs, and nothing it does say misleads about them.

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 states a specific verb and resource: it returns API capabilities, rate limits, and integration hints from GET /api/v1/meta. That is far more concrete than the bare name 'service_meta'. It doesn't explicitly differentiate itself from the sibling request_capability, which an agent could plausibly confuse it with.

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?

It gives clear context: 'Use after you are authenticated to MCP for onboarding and capability checks.' That tells the agent both the precondition and the intent. It names no exclusions or alternatives, so it stops short of full when/when-not guidance.

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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