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Thryv: Reply to review

thryv_reply_to_review

Thryv: Post a public reply to a review from the Reputation dashboard. Posts a public reply to one review from the Reputation dashboard. The reply is visible to anyone who reads the review. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesReply text.
review_idYesReview ID from list_reviews.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations declare this is a non-read-only (write) open-world action with destructiveHint=false, so the bar for additional disclosure is real, and the description meets it by stating the reply is publicly visible to anyone reading the review and that it requires the user's Cotlet API key with app access. The confirmation-before-each-call behavior is also genuine operational context not captured by annotations.

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

Conciseness3/5

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

The purpose is front-loaded, but the first two sentences are near-duplicates ('Post a public reply...' vs 'Posts a public reply...') and the confirmation point is stated twice, wasting space. The redundant lead-in dilutes the otherwise efficient structure.

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 two-parameter mutation tool with no output schema, the description covers the essentials an agent needs: public visibility, auth requirement, and confirmation policy, all backed by annotations. Slightly more on when to use it relative to list_reviews would make it fully 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 both parameters (text, review_id) are already documented, and the schema even points review_id back to list_reviews. The description adds no syntax, format, or constraint detail beyond the schema, so the baseline 3 applies.

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 ('Post a public reply to a review') that clearly distinguishes it from the read-only sibling thryv_list_reviews. The scope ('from the Reputation dashboard') is named, though the description relies on the schema's reference to list_reviews rather than routing the agent to siblings itself.

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?

Provides confirmation guidance ('By default you confirm each call; you can switch that off') and a strong directive to confirm before each call because it reaches other people. However, it never states when to use this tool versus alternatives (e.g., when to gather context via list_reviews first), leaving usage largely implied.

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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