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suggest_next_synthesis

suggest_next_synthesis

Analyzes system patterns to recommend the optimal next action (meditate, consult, weave, or observe) for maintaining coherence and resonance.

Instructions

Based on current patterns, suggest what action the system should take next (meditate, consult, weave, observe)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'suggests' an action, implying it's a read-only or advisory operation, but doesn't clarify if it requires specific permissions, how it determines patterns, or what the output format looks like (e.g., a single action or a list). For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior and limitations.

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 a single, efficient sentence that directly states the tool's purpose and lists the possible actions. It's front-loaded with the core function and avoids unnecessary words, making it easy to parse quickly. Every part of the sentence contributes essential information without redundancy.

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 has no parameters (simplifying input) and no output schema (increasing the need for output description), the description is moderately complete. It explains the purpose and possible actions but lacks details on how the suggestion is generated, the output format, or any behavioral constraints. For a tool with no annotations and no output schema, this leaves room for improvement in covering context, though it meets a minimum viable level.

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

Parameters4/5

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

The tool has 0 parameters, and the schema description coverage is 100% (as there are no parameters to describe). The description doesn't need to add parameter information beyond what the schema provides. A baseline score of 4 is appropriate since there are no parameters to compensate for, and the description doesn't introduce any confusion about inputs.

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: to suggest the next action based on current patterns. It specifies the verb 'suggest' and the resource 'what action the system should take next,' and lists the possible actions (meditate, consult, weave, observe). However, it doesn't explicitly differentiate this tool from its siblings, such as 'detect_emergent_patterns' or 'observe_ecosystem_state,' which might also involve pattern analysis or action recommendations.

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

Usage Guidelines2/5

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

The description provides minimal guidance on when to use this tool, only implying it should be used 'based on current patterns.' It doesn't specify when to use it versus alternatives like 'detect_emergent_patterns' (which might identify patterns without suggesting actions) or 'orchestrate_emergent' (which might execute actions). There's no explicit when-not-to-use or prerequisite information, leaving usage ambiguous.

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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