ResolveMesh Compatibility Intelligence
Server Details
Read-only, source-backed compatibility lookups and approved changes for ResolveMesh's catalog.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.4/5 across 2 of 2 tools scored.
The two tools target distinct operations: one for paginated historical events, one for a single current lookup. No overlap in purpose.
Both tools follow a consistent 'compatibility_' prefix with clear, descriptive verbs (_changes, _lookup), following the same pattern.
With only 2 tools, the server feels minimal for a 'Compatibility Intelligence' domain. While possibly sufficient for a read-only API, it is borderline thin.
The tools cover reading current state and events, but lack any update, create, or delete operations. For a domain called 'Intelligence', more analytical features might be expected.
Available Tools
2 toolscompatibility_changesList approved compatibility changesBRead-onlyIdempotentInspect
Return cursor-paginated, approved ResolveMesh compatibility events using the same allowlisted filters as the public JSON API.
| Name | Required | Description | Default |
|---|---|---|---|
| tool | No | ||
| limit | No | ||
| since | No | ||
| client | No | ||
| cursor | No | ||
| severity | No |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly, idempotent, non-destructive. Description adds that it returns cursor-paginated results and uses allowlisted filters, providing behavioral context beyond annotations. No contradiction.
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?
Single sentence conveys core purpose and key constraints. No extraneous words; front-loaded with verb and resource.
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?
With 6 parameters, no output schema, and no parameter descriptions, the description omits critical details like filter usage, pagination mechanics, and return value structure. Insufficient for correct invocation without external knowledge.
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?
Schema parameter coverage is 0% (no descriptions in schema). Description only vaguely says 'same allowlisted filters as the public JSON API' without explaining individual parameters or their semantics. For 6 parameters, this is insufficient.
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?
Description states verb 'Return' and resource 'approved ResolveMesh compatibility events'. It distinguishes from sibling 'compatibility_lookup' by specifying cursor-pagination and 'allowlisted filters like the public JSON API'. However, it does not explicitly contrast with the sibling.
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?
No guidance on when to use this tool versus compatibility_lookup or other alternatives. The description does not mention prerequisites, contexts, or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
compatibility_lookupLook up client and tool compatibilityARead-onlyIdempotentInspect
Return the source-backed ResolveMesh compatibility result for one allowlisted client and hosted-tool pair.
| Name | Required | Description | Default |
|---|---|---|---|
| tool | Yes | ||
| client | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false. The description adds 'source-backed' and 'allowlisted', which provide minor context but do not significantly extend beyond what annotations convey. 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the action and scope. Every word is meaningful and there is no redundancy or extra information.
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?
The tool has no output schema, so the description should explain what the return value contains (e.g., a compatibility status, details). It only mentions 'compatibility result' without further detail. Given the lack of output documentation and the simple parameters, the description is incomplete.
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?
Schema description coverage is 0%, but both parameters are enum types with self-explanatory names ('client' and 'tool'). The description mentions 'one allowlisted client and hosted-tool pair' but does not add detailed meaning beyond what the enum values imply. The description is adequate given the simplicity.
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 clearly states the action ('Return'), the resource ('source-backed ResolveMesh compatibility result'), and the scope ('for one allowlisted client and hosted-tool pair'). It distinguishes from the sibling tool 'compatibility_changes' by implying lookup vs changes.
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?
The description implies usage for looking up compatibility for a specific client-tool pair, but does not provide explicit guidance on when to use this tool versus the sibling 'compatibility_changes' or when not to use it. No exclusions or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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
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!