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list_escalations

Read-onlyIdempotent

See what the work is stuck on and waiting for a human decision about.

`project_status` only COUNTS open escalations; this returns each one with its
kind, reason, detail_md, recommended_action, and (when task-scoped) the
blocked task's title + PR url. A "forever-paused" project with no open
`project_pause` row is surfaced as a synthetic `orphan:<project_id>` row.
Each row carries a server-derived `task_retry_available` flag and an exact
`next_tool`: eligible recovery blocks route to `retry_blocked_task`, roadmap
parks to `rearm_roadmap_item`, platform conflicts to their structured
resolver, stale work to `replan_task`, and only safe auxiliary cards to
`resolve_escalation`.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.1/5.0
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 meaningful behavior beyond those: synthetic orphan rows for forever-paused projects, a server-derived task_retry_available flag, and exact next_tool routing per escalation kind. These are non-obvious behaviors that an agent could not infer from the schema alone.

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 front-loaded with the core purpose and then packs detailed behavioral information into a compact block. Every sentence contributes useful information, including the project_status contrast and next_tool routing. It is slightly dense but appropriately sized for the complexity of the tool.

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?

Given that an output schema exists and the tool is a read-only list operation with one parameter, the description covers the important behavioral nuances: synthetic orphan rows, retry flag, and next_tool routing. The only notable gap is the lack of explicit documentation for the project_id parameter, but overall the agent has enough context to select and invoke the tool correctly.

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

Parameters2/5

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

The input schema has a single required project_id string with no description, and schema description coverage is 0%. The description mentions project_id only in the context of a synthetic 'orphan:<project_id>' row, but never explicitly explains that the parameter selects which project's escalations to list. The meaning is inferable but not directly stated, which is a meaningful gap for a schema with zero parameter documentation.

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 opens with a specific verb and resource: 'See what the work is stuck on' and 'list_escalations' returns each escalation. It clearly distinguishes itself from project_status by contrasting 'only COUNTS open escalations' with 'returns each one with its kind, reason, detail_md, recommended_action...' This gives an agent a precise sense of what the tool produces and how it differs from a sibling.

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?

The description explicitly contrasts with project_status, telling the agent when to use this tool for detailed escalations instead of a count. It also names follow-up tools via the next_tool mapping, which gives helpful routing context. However, it does not explicitly state when not to call this tool or what preconditions (e.g., project existence) apply.

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

A4/5.0
Disambiguation5/5

Every tool targets a distinct resource and action duo, even within clusters like request handling or security reviews. The get_ vs run_ pairs are clearly separated, and descriptions explicitly contrast confusing alternatives such as archive_project vs delete_project.

Naming Consistency4/5

The set overwhelmingly follows verb_noun snake_case (submit_request, list_projects, resolve_escalation). The one visible deviation is project_status, which breaks the get_/pattern, and signup is a single-word verb instead of sign_up.

Tool Count2/5

37 tools is well above the 25+ threshold and spans auth, billing, project lifecycle, roadmap, escalations, product documents, and multiple review types. Most tools earn their place, but the surface is too large for one server and would be more coherent split into focused servers.

Completeness4/5

The domain coverage is broad: full project lifecycle, request intake/refinement, roadmap manipulation, escalation handling, product doc read/write, and security/legal review flows. Minor gaps exist, most notably no dedicated task-listing or task-update tool, but agents can work around these via project_status and list_escalations.