Skip to main content
Glama
shanewiseman

paperclip-mcp

by shanewiseman

Run issue graph liveness auto-recovery

pc_post_instance_settings_experimental_issue_graph_li_f0f6648423

Run issue graph liveness auto-recovery to detect and recover stale issues. Configure lookback hours to limit the duration of the scan.

Instructions

Run issue graph liveness auto-recovery

Paperclip operation: POST /api/instance/settings/experimental/issue-graph-liveness-auto-recovery/run. Authorization class: board.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
headersYes
encodingYes
status_codeYes
content_typeYes
Behavior3/5

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

Annotations already indicate the tool is not read-only (readOnlyHint=false). The description adds the authorization class ('board') and hints at an action ('run auto-recovery') but does not explain side effects, such as whether the recovery is synchronous or if it modifies state, beyond what annotations imply.

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 concise, consisting of two short sentences that convey the action and technical details. No extraneous information, but the second sentence could be integrated more smoothly.

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?

Given the presence of an output schema and annotations, the description provides the operation and authorization class. However, it lacks context about the recovery process (e.g., whether it's asynchronous, what triggers it, or potential impacts), leaving the agent with only a high-level understanding.

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

Parameters1/5

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

With 0% schema coverage, the description does not mention the 'lookbackHours' parameter at all. The agent must rely solely on the schema's name and constraints, which may not be sufficient to understand its purpose (e.g., hours to look back for recovery candidates).

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 'Run issue graph liveness auto-recovery' and includes the HTTP method and path, making the tool's purpose specific and distinguishable from its siblings (e.g., the similar named sibling is differentiated by the full path).

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites, context, or exclusions. The agent is left to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shanewiseman/paperclip-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server