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Glama

Server Details

Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
evanfollis/skillfoundry-products
GitHub Stars
0

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

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.

100% free. Your data is private.
Tool DescriptionsC

Average 2.9/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Since there is only one tool, there is no possibility of confusion—its purpose is clear and unique. The tool's name and description distinctly indicate its role in validating publishability.

Naming Consistency5/5

The tool uses a clear verb_noun format ('check_publish_readiness'), and with a single tool, naming is trivially consistent. It is descriptive and follows common conventions.

Tool Count3/5

With just one tool, the server feels minimal for a validation task, but the tool is focused and well-defined. However, a typical well-scoped server would have more tools to handle different aspects, so it's borderline thin.

Completeness5/5

The tool appears to cover the entire preflight validation process, including checking multiple registries and providing evidence-backed findings. No obvious gaps exist within the stated domain.

Available Tools

1 tool
check_publish_readinessCInspect

Validate whether an MCP server is publishable on real directories (MCP Registry, Smithery, npm). Provide raw artifact contents. Returns evidence-backed findings with source-linked directory rules.

ParametersJSON Schema
NameRequiredDescriptionDefault
readmeNoRaw README content
manifestNoRaw server.json content
package_jsonNoRaw package.json content
smithery_yamlNoRaw smithery.yaml content
pyproject_tomlNoRaw pyproject.toml content
target_directoriesNoDirectories to check against. Defaults to all applicable.
Behavior3/5

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

With no annotations, the description must carry the transparency burden. It does disclose that the tool returns evidence-backed findings and references source-linked directory rules, adding some behavioral context. However, it does not explicitly state whether the operation is read-only, whether it makes network calls, or how it handles invalid inputs, leaving gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short (three sentences) and front-loaded with the primary purpose. However, the second sentence 'Provide raw artifact contents' is redundant with the input schema and does not earn its place. The third sentence is dense and arguably jargony, though it adds some specificity about the output.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 6 parameters, no output schema, and no annotations, placing a heavy burden on the description. The description gives a high-level summary of the return type ('evidence-backed findings') but does not explain the structure of the findings, how 'source-linked directory rules' work, or how the tool processes the multiple raw content inputs. This is insufficient for full clarity.

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 covers 100% of parameter descriptions, so the baseline is 3. The tool description adds no additional meaning beyond what the schema already provides for individual parameters, such as the meaning of 'target_directories' defaults or how the raw content fields interact.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: validating publishability of an MCP server against specific directories (MCP Registry, Smithery, npm). However, the second sentence 'Provide raw artifact contents' is ambiguous—it could be read as a user instruction or as an output feature—which slightly muddies the primary purpose.

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?

No guidance is given about when to use this tool or how it compares to alternatives. The description implies it is for pre-publishing validation, but it does not state prerequisites, timing, or exclusions (e.g., when not to use it or what to do instead).

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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