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mcp_engram_verify_behavior

Report empirical success or failure data for a hypothesized behavior. Success promotes the block to crystallized praxis; failure lowers confidence and may trigger automatic scarring.

Instructions

TRIGGER: Call this after any hypothesis is confirmed to work OR fails in practice. Reports empirical success/failure data against a specific ZEDOS_HYPOTHESIS block. WHAT HAPPENS ON SUCCESS: Consistent successes promote the block from ZEDOS_HYPOTHESIS to ZEDOS_PRAXIS (crystallized, pinned, CRS=1.0). WHAT HAPPENS ON FAILURE: CRS is penalized. Accumulate enough failures and the block is automatically scarred. EXAMPLES: After a code fix works — verify_behavior(concept, success=true). After a fix fails — verify_behavior(concept, success=false), then consider mcp_engram_scar.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesThe concept name of the hypothesis to verify
successYesTrue if the behavior or rule worked successfully, false if it failed
Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: on success, block promoted to Praxis; on failure, CRS penalized and eventual automatic scarring. This provides complete transparency about side effects.

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 informative but somewhat verbose. It is structured with clear sections (trigger, outcomes, examples), but could be slightly more concise while retaining all essential information.

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

Completeness5/5

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

Given the simple input schema (2 params, no output schema), the description is very complete. It explains the tool's role within the engram system, consequences of both outcomes, and provides practical examples, leaving no gaps.

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

Parameters5/5

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

Both parameters are described in the schema (100% coverage). The description adds meaning by linking 'concept' to a specific ZEDOS_HYPOTHESIS block and tying 'success' to empirical data, enhancing schema information.

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's purpose: to report empirical success/failure data against a ZEDOS_HYPOTHESIS block. It uses a specific verb+resource and distinguishes itself from sibling tools like mcp_engram_scar.

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

Usage Guidelines5/5

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

The description explicitly says when to call (after hypothesis confirmed or fails) and provides examples. It also suggests an alternative (mcp_engram_scar) for failure cases, offering clear usage guidance.

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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