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reconcile_ai_rule_write

Reconcile an uncertain rule write by real exact-company GETs only. No POST/PUT/PATCH/DELETE is retried. A create without a returned ID stays explicitly uncertain.

Input Schema

NameRequiredDescriptionDefault
company_nameNo
operation_keyYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

With zero annotations the description carries the full burden, and it does disclose the key behavioral traits: only GET traffic is issued, no mutating verb is ever retried, and an unresolved create remains flagged uncertain rather than assumed successful. That is unusually strong safety disclosure for this dataset. It still omits auth/permission requirements, rate or scope limits on the GETs, and when the operation is considered finished.

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?

Three tight sentences with the core mechanic front-loaded and no filler. The jargon ("exact-company", "rule write") is dense but each sentence carries distinct information, so little is wasted.

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

Completeness3/5

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

An output schema exists so return values need not be explained, which helps. However, for a reconciliation tool with no annotations and 0% schema coverage, the description should still connect operation_key to the write it originated from and indicate the possible outcomes (confirmed / still uncertain), which it does only partially.

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

Parameters2/5

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

Schema description coverage is 0% for both parameters, so the description must compensate and largely does not: the required operation_key is never mentioned, and only "exact-company" loosely hints at what the nullable company_name constrains. An agent cannot learn from the description what an operation key is, where it comes from, or whether company_name is needed to scope the lookup.

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 ("Reconcile an uncertain rule write") and adds the mechanism ("by real exact-company GETs only"), so an agent can tell this is a verification/reconciliation operation rather than a mutation. It does not, however, differentiate itself from the close sibling get_ai_rule_write_status, leaving a naming ambiguity unresolved.

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?

"Uncertain rule write" and "a create without a returned ID stays explicitly uncertain" imply the triggering situation, and "No POST/PUT/PATCH/DELETE is retried" reads as a scope constraint. But there is no explicit when-to-use statement, no named alternative (e.g. get_ai_rule_write_status vs. re-calling the create tool), and no guidance on what to do when reconciliation still cannot confirm the write.

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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