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joshavenue

Reservoir MCP

by joshavenue

Check Reservoir access

reservoir_setup_check
Read-onlyIdempotent

Checks AWS sign-in, requester-pays Reservoir bucket access, DuckDB, local data folder, and monthly download total before use; rerun when credential errors appear.

Instructions

Check AWS sign-in, requester-pays access to the Reservoir bucket, DuckDB, the local data folder and this month's download total. Run this first, or whenever a tool reports a credentials error.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds useful context beyond that by listing the specific environmental checks performed, which tells the agent what this diagnostic verifies without redundant safety restatement.

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?

Two tight sentences: the first enumerates the checks, the second front-loads the usage trigger. Every clause earns its place.

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?

An output schema exists to describe return values, and annotations cover safety and idempotency. The description supplies the remaining context an agent needs: what is checked and when to invoke it.

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 there is nothing for the description to clarify; the schema is trivially complete. Baseline 4 applies, with no evidence of missing parameter guidance.

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 names a specific verb+resource ('Check Reservoir access') and then enumerates exactly what is checked: AWS sign-in, requester-pays bucket access, DuckDB, local data folder, and monthly download total. This makes it immediately distinguishable from the data-fetching 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?

It gives an explicit trigger condition: 'Run this first, or whenever a tool reports a credentials error.' That is strong when-to-use guidance, though it does not name specific sibling alternatives or state when not to use it.

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