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show_agree

Display the highest-confidence decisions that all models independently agreed upon in Round 1 of multi-model planning.

Instructions

Show what ALL models agreed on independently in Round 1 — highest-confidence decisions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNameNoYour model name (optional)
Behavior4/5

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

No annotations provided, so the description carries the burden. It indicates a read-only operation by stating 'Show what ALL models agreed on', suggesting no side effects. However, it does not detail output format or confidence calculation.

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?

The description is a single, front-loaded sentence that conveys the core action and scope. It is efficient but could be more structured with separate details.

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?

Given no output schema and no annotations, the description is adequate but incomplete. It does not explain return format or how confidence is determined. Sibling tools provide context but are not referenced.

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 coverage is 100% for the single optional parameter. The description adds no extra meaning beyond the schema's description of 'Your model name (optional)'. Baseline score applies.

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 clearly states the tool shows agreements among all models independently in Round 1, with a focus on highest-confidence decisions. It uses a specific verb and resource, and distinguishes from other show tools like show_conflicts and show_diff.

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 description implies usage for reviewing Round 1 consensus, but lacks explicit guidance on when to use this tool versus siblings like show_conflicts or show_diff. No when-not or alternative mentions.

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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