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axis_outcome_submit

Submit real-world outcomes from a cross-layer Axis workflow back into the Zambo Proven Spark Registry. Closes the loop: strategy → execution → coordination → verified outcome with cryptographic proof. When to use: call axis_outcome_submit when the user's request matches this capability. When not to use: do not call it for unrelated work, missing required inputs, or when a safer read-only route is more appropriate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricNoQuantifiable result (e.g. $1,200 MRR gained)
outcomeYesWhat actually happened as a result of the workflow
spark_hashYesOriginal Spark hash

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNo

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description correctly signals that this is a mutating submit operation and mentions cryptographic proof, which adds behavioral context. It does not disclose prerequisites, permission requirements, idempotency, or reversibility; for a write tool with no annotation coverage this is a notable gap, so 3.

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 second sentence is decorative ('Closes the loop...') and the 'When to use' sentence largely restates the capability without adding information. Compact, but with some filler.

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?

With an output schema and 100% parameter coverage, the description doesn't need to explain return values or parameters. However, it leaves ambiguous what qualifies as a valid spark_hash/outcome for this registry and how this tool relates to the many similar axis/zambot siblings, so it is only minimally 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 covers all three parameters with descriptions, so the baseline is 3. The tool description adds no parameter-specific detail beyond the schema, so no increase.

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?

Clearly states the action (submit real-world outcomes) and the target (Zambo Proven Spark Registry), and situates it in the workflow loop. It does not name or differentiate from closely related sibling tools like zambot_outcome or zambot_registry, so it earns a 4 rather than 5.

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 an explicit 'When to use' and 'When not to use' section, but the trigger is tautological ('matches this capability') and the exclusions are generic (unrelated work, missing inputs). It mentions preferring a read-only route when appropriate, but names no specific alternative sibling, leaving routing mostly to inference.

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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TDQS

C2.7/5.0
Disambiguation1/5

Many tools overlap heavily or are outright duplicates: leadsignal_generate is literally described as an alias for leadsignal, presence_navigate/presence_extract/presence_screenshot all return the same structured content, and write/email_write/thread_craft/content_distribute all generate text. The zambo_universal/zambo_help/zambo_ask/capability_search cluster further blurs routing and information tools, making correct selection very difficult.

Naming Consistency2/5

Naming is a mix of zambo_, zambot_, zambro_, axis_, presence_, trading_, ghost_audit_, and unprefixed standalone names like write, weather, and translate, with no consistent pattern. The zambo/zambot/zambro prefixes are visually near-identical but reference different tool families, and duplicate names like leadsignal/leadsignal_generate add confusion.

Tool Count1/5

128 tools is an extreme count for a single MCP server and far exceeds the point where an agent can reliably navigate the surface. The server tries to be a general-purpose marketplace of utilities, but the sheer volume makes selection costly and error-prone.

Completeness2/5

Despite the huge tool count, workflows have clear dead ends: zambo_watch has no matching cancel/list tool, presence identities lack edit/update operations, agent_hire has no way to manage hired agents, and zambo_remember/zambo_recall lack delete or fine-grained update. The surface is broad but shallow across many unrelated domains rather than complete in any one of them.

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