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renkeimap_plan
Read-only

One call to connect or move data between two systems: route states (API/CSV/screen) + legend, each side's best official route (vendor MCP URL verbatim — never one found by search — or API issuing), human steps, your CLI's add line (pass agent), write_rules, citation. Read-only. Ambiguous names return candidates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesdestination system — a name or a slug
fromYessource system — the name as the user wrote it, or a slug
agentNoyour CLI, e.g. "claude-code" — the answer then carries that CLI's add line

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description confirms 'Read-only,' so it doesn't contradict them. Beyond that it discloses genuinely useful behavior: the exact content of the response (route states + legend, verbatim vendor MCP URL rather than a search-found one, human steps, CLI add line, write_rules, citation) and the ambiguous-name candidate fallback.

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?

Effectively a single dense sentence with the core purpose front-loaded ('One call to connect or move data between two systems') before the output enumeration. It is packed with comma-separated detail but each item conveys real information, so it stays efficient despite the density.

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?

There is no output schema, so the description appropriately carries the burden of describing the return contents, which it does thoroughly. For a read-only planning tool with fully covered parameters, an agent has enough to call it correctly; only the missing sibling differentiation keeps it short of complete.

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

Parameters3/5

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

Schema description coverage is 100%, so all three parameters (from, to, agent) are already documented, making the baseline 3. The description adds only marginal meaning by explaining the effect of the agent param ('the answer then carries that CLI's add line', pass agent), but gives no extra detail on from/to beyond what the schema states.

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?

States a specific verb and resource (returns a plan to connect/move data between two systems in one call) and enumerates the concrete artifacts it produces (route states, official route, human steps, add line, write_rules). However, it never distinguishes itself from close siblings like renkeimap_connect, renkeimap_pair, or renkeimap_compare, so an agent can't tell which to pick from the description alone.

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

Usage Guidelines3/5

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

The phrase 'One call to connect or move data between two systems' implies the use case, and 'Ambiguous names return candidates' hints at input handling. But there is no explicit when/when-not guidance and no naming of an alternative sibling, leaving the choice against renkeimap_connect/renkeimap_pair to inference.

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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