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conclude

Synthesize reasoning sessions into final conclusions with confidence scoring to document problem-solving outcomes.

Instructions

Conclude a thinking session with a final synthesis. Call this when you've finished reasoning through the problem.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesThe thinking session ID
conclusionYesThe final conclusion/synthesis
confidenceNoOverall confidence in the conclusion (0-1)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the tool concludes a session with synthesis, implying a write/mutation operation that finalizes reasoning, but lacks details on behavioral traits like whether this is irreversible, if it requires specific session states, what happens to the session post-conclusion, or any rate limits. For a mutation tool with zero annotation coverage, this is inadequate.

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?

The description is appropriately sized and front-loaded: two concise sentences that directly state the purpose and usage without any wasted words. Every sentence earns its place by providing essential information efficiently.

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 the tool's complexity (a mutation to finalize reasoning), lack of annotations, and no output schema, the description is minimally complete. It covers the basic what and when but misses behavioral details and output expectations. It's adequate for a simple tool but has clear gaps for informed agent use.

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 the schema already documents all parameters (session_id, conclusion, confidence). The description adds no additional meaning beyond what's in the schema, such as explaining how the conclusion integrates with the session or the implications of confidence scores. Baseline 3 is appropriate when schema does the heavy lifting.

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?

The description clearly states the tool's purpose: 'Conclude a thinking session with a final synthesis.' It specifies the verb ('conclude') and resource ('thinking session'), and distinguishes it from siblings like 'start_thinking' or 'think' by indicating it's for finishing reasoning. However, it doesn't explicitly differentiate from 'revise' or other potential conclusion-related tools, which prevents a score of 5.

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?

The description provides clear context on when to use it: 'Call this when you've finished reasoning through the problem.' This gives explicit timing guidance. However, it doesn't mention when NOT to use it or specify alternatives among siblings (e.g., vs. 'revise' for iterative adjustments), so it falls short of a 5.

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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