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introspection_system_co_decisions

Read-onlyIdempotent

Query the CO-management decision log: every change-order operation an agent scored or actuated, as an evidenced graph node (confidence breakdown + threshold + outcome + accountability, plus the actuation PR link when the act proposed one). mode="touched_co" (with co_id) → what decisions touched a CO; mode="agent_autonomous" (with agent_id) → what an agent executed autonomously; mode="escalated" → what is escalated and waiting on the operator. Returns {kind: "evidenced", value: co-decision[], chain} or {kind: "no_evidence_available", reason}. Added by CO 2026-05-30-022-003. Returns: The recorded change-order decisions. Example: call introspection_system_co_decisions with arguments {"mode":""}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
co_idNo
agent_idNo

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish the tool as read-only, idempotent, and non-destructive. The description adds meaningful behavior beyond that: it describes the two possible return shapes ({kind: "evidenced", value, chain} or {kind: "no_evidence_available", reason}) and notes the inclusion of confidence, threshold, outcome, accountability, and PR links. No contradiction with annotations.

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 description is dense and front-loaded with purpose and modes, but it is a long single block with redundant return statements ('Returns: The recorded change-order decisions' repeats earlier content) and a placeholder example that uses "<mode>" rather than a concrete value. It could be tightened without losing value.

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

Completeness4/5

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

For a read-only query tool with no output schema, the description covers the essential context: all three modes, associated parameters, return envelope variants, and provenance note. Minor gaps remain, such as what happens if both co_id and agent_id are supplied or whether mode values constrain required parameters, but overall the tool is well-specified.

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?

Schema coverage is 0%, so the description must compensate—and it does. It explains when to supply co_id versus agent_id and maps each mode to the relevant parameter. The schema only lists the enum and maxLength, so the description adds meaningful usage semantics beyond the structured fields.

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?

Description explicitly states the tool 'Query the CO-management decision log' and details what it returns: every change-order operation an agent scored or actuated. It clearly distinguishes itself from sibling tools by naming the specific domain (CO-management) and the three query modes.

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?

Usage context is clearly given through mode-specific instructions: mode="touched_co" with co_id, mode="agent_autonomous" with agent_id, mode="escalated" for waiting items. It does not explicitly state when not to use the tool or name alternatives, but the mode examples provide clear situational 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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TDQS

B3.4/5.0
Disambiguation3/5

Most tools have distinct purposes, but there is overlap among introspection tools (introspection_system_probe vs. introspection_system_confidence vs. introspection_system_diff) and between similar reading tools (federation_canon_get vs. federation_tenant_info). Descriptions help clarify but boundaries are not always crisp.

Naming Consistency2/5

Naming is inconsistent: some tools use verb_noun (federation_bond_post, federation_bond_release), some use noun_verb (federation_arena, federation_help), and some use noun_noun (about_us_about, moltbook_read). There are also tools with dot separators (about_us_about) and camelCase (cohort_email_send) mixed with snake_case, making patterns unpredictable.

Tool Count2/5

With 72 tools, the surface is extremely large and likely to overwhelm agents. While the server covers a complex federation platform, this many tools suggest poor scoping or lack of consolidation, making it hard for agents to discover and choose the right tool.

Completeness3/5

The server covers core federation lifecycle (create/list/update/delete tenants, manage managers, bonds, keys) and some platform operations, but there are gaps such as missing tenant deletion workflow details, no explicit tool for updating manager info, and no direct tool for tenant-level settings beyond basic update. The introspection suite is thorough but the domain may not be evenly covered.

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