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My Governed Sessions

me.sessions
Read-onlyIdempotent

Pro/Teams — list or inspect the authenticated user's Governed Sessions (GEP-M2): durable, owner-scoped containers that group validation runs across lenses (architect.validate → 'architecture', design.validate → 'surface', spec.validate → 'spec') into one timeline for one piece of work. Two modes: (1) No arguments returns every session (id, title, status, repo_url, spec_ref, team_agents, run_count, validators = the lenses seen), newest first. (2) session_id=<id> returns that session plus its run timeline (light rows; fetch full results per run via me.validation_history(run_id=...)) and, for team sessions, events = the typed team-event log posted via me.session_event. Attach new runs by passing session_id to architect.validate, design.validate, or spec.validate. Sessions are created and managed in the web app at /app/sessions. Read-only. Auth: Bearer . Pro or Teams plan required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idNoSession id to inspect (returns the session + its run timeline). Owner-scoped: ids you don't own answer 'Session not found.'. Omit to list all your sessions.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, and the description adds owner-scoping behavior ('ids you don't own answer Session not found'), auth requirements (Bearer token), plan restrictions (Pro/Teams), return shapes for both modes, and events for team sessions. This is substantive behavioral context beyond the annotations, with no contradictions.

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 dense but well-structured: it front-loads the purpose with 'Pro/Teams — list or inspect', then uses two numbered modes, field lists, cross-references, and auth/plan requirements. Every sentence contributes to understanding, with no filler except a harmless redundant 'Read-only' phrase.

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?

The description covers modes, returned fields, run timeline details, linking to related tools (validation_history, session_event, validate tools), where sessions are created, authentication, and plan requirements. With an output schema present, it does not need to enumerate return values further; it is complete for a list/inspect tool of this complexity.

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?

The input schema already provides 100% coverage with a detailed description of session_id, including the owner-scoping and 'Session not found' behavior. The tool description repeats this almost verbatim, so it adds no meaningful semantic value beyond the schema. Baseline 3 is appropriate given high schema coverage.

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 'list or inspect the authenticated user's Governed Sessions' with a specific verb and resource, and distinguishes from siblings by defining sessions as durable containers grouping validation runs across lenses (architect.validate, design.validate, spec.validate). It clearly separates itself from me.validation_history, which is referenced for full run results.

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?

Two modes are clearly described: no arguments lists all sessions, while session_id=<id> inspects a specific session with its timeline. It explicitly directs users to me.validation_history for full run results and to the validate tools for attaching new runs, and notes sessions are created/managed in the web app. This provides clear when-to-use and alternative context.

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

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose within its domain: the validators are differentiated by lens (architect/design/spec), content tools are split by entity (principles/clusters/guides/examples/assets) with list/get/search variants, and even the me.* and handoffs.* tools have non-overlapping functions. The only near-overlap (architect.validate vs architect.validate_consensus) is explicitly disambiguated by the consensus variant's description.

Naming Consistency4/5

Tool names consistently use a domain prefix (architect., principles., me., etc.) and snake_case throughout. While most are action-oriented (validate, list, get, search, add, await, report, summarize), some me.* and handoffs.* names are noun phrases (me.learning_path, handoffs.agency) that don't signal the action as clearly, creating minor deviation from a pure verb_noun or action pattern.

Tool Count3/5

At 29 tools, the set is heavy but justified by the server's broad multi-domain scope (doctrine, validation, learning, support, and team analytics). Each tool has a distinct role, but the number exceeds the typical well-scoped range, and some content types (e.g., examples) could have been consolidated without losing function.

Completeness4/5

The server covers its apparent domains thoroughly: doctrine content has list/get/search for most entity types, validation covers architecture/design/spec with consensus and certification, and user learning/support have appropriate tools. Minor gaps exist—e.g., examples have no list-all endpoint, and session management is web-only—but none are blocking for core workflows.

Resources