RECOVER — Safe Next-Step Decisions After Machine Failures
Server Details
Deterministic next-step decisions after failed API, MCP, automation, or AI-agent actions.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- GSterlingPress/recover-api
- GitHub Stars
- 0
- Server Listing
- recover-api
Available Tools
1 toolrecover_decideAInspect
Use immediately after an API, MCP tool, automation, or agent action fails and before retrying. Especially use after timeouts, 5xx/429 responses, uncertain execution, or any side-effecting action that may already have completed. Returns the safest deterministic next action: RETRY_NOW, WAIT, REPAIR_REQUEST, VERIFY_FIRST, ESCALATE, or ABORT. Do not use before an action or for successful actions.
| Name | Required | Description | Default |
|---|---|---|---|
| error | No | Short failure/error message. | |
| method | No | HTTP/action method when known, e.g. GET, POST, PATCH, DELETE. | |
| status | No | Failure HTTP/status code when available. | |
| attempt | No | Current attempt number. | |
| headers | No | Relevant response headers such as Retry-After. | |
| sideEffect | No | True if the failed action could create, modify, send, charge, delete, or otherwise change external state. | |
| maxAttempts | No | Maximum allowed attempts if known. | |
| idempotencyKey | No | True if a valid idempotency key protects a retry. | |
| providerRetryable | No | True only when the provider explicitly marks the failure retryable. | |
| uncertainExecution | No | True when it is unknown whether the action completed before the failure became visible. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It transparently discloses the tool's behavioral outcome (returns a deterministic next action) and enumerates the possible outputs. However, it does not explicitly state that the tool itself is non-mutating or whether it requires any special authentication, leaving some implicit inference. Overall, it provides good context beyond the schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is tightly written in four sentences: trigger condition, special cases, return value, and exclusion. Every sentence adds distinct value with no redundancy, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 10 optional parameters, no output schema, and no annotations, the description covers the primary usage context and return values comprehensively. It does not explain how parameters influence the decision, but the schema already details them. Minor gap: no explicit statement about non-mutating behavior, but the 'Returns' wording implies it. Overall, sufficient for an agent to invoke correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage for all 10 parameters, so the schema already fully documents each parameter. The description adds no parameter-specific guidance, which is acceptable given the baseline of 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool's purpose: to decide the safest next action after a failure, listing the exact possible outputs (RETRY_NOW, WAIT, etc.). It uses a specific verb and resource scope, clearly differentiating it as a recovery decision tool despite having no siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage guidelines are explicit and comprehensive: 'Use immediately after... fails and before retrying' and 'Especially use after timeouts, 5xx/429 responses, uncertain execution, or any side-effecting action.' It also states exclusions: 'Do not use before an action or for successful actions.' This provides clear when-to-use and when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Connectors
Read-only triage for n8n, MCP, webhook, and AI agent workflow production failures.
Deterministic decision layer for autonomous agents. Reproducible PROCEED, REVIEW, SKIP verdicts.
Structured failure knowledge for AI agents — dead ends, workarounds, error chains
Deterministic runtime enforcement of step order for AI agents: ALLOW/DENY before a step runs.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceProvides structured error classification and recovery guidance for MCP agents, turning opaque failures into actionable retry and state information.17MIT
- AlicenseNot gradedqualityBmaintenanceClassifies agent errors and provides clear recovery actions (retry, escalate) with configurable categories and strategies, plus MCP tools for direct agent use.8MIT
- AlicenseAqualityBmaintenanceHelps AI agents avoid repeating known failures by providing deterministic lookup of dead ends for coding errors and country-specific real-world rules.11MIT
- AlicenseBqualityCmaintenanceA debugging workflow plugin for AI coding agents. Turns terminal failures into source-backed fixes via MCP and structured skills.2192MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
With only one tool, there is no possibility of confusion or overlapping purposes. The tool's role is clearly defined and distinct.
The single tool name 'recover_decide' follows a consistent verb_noun pattern. There are no other tools to create inconsistencies.
The server has only one tool, which feels too thin for a meaningful server surface. Even a specialized purpose typically benefits from supporting tools like context retrieval or status checks.
For its stated purpose of determining safe next-step decisions after failures, the tool covers the full decision space with six possible outcomes. No obvious gaps exist within that narrow scope, as the tool is designed to be the single entry point for this decision.