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Glama

Keryx remote MCP status

keryx_status
Read-onlyIdempotent

Describe this MCP surface, its payment behavior, and the active caller tier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds that it returns payment behavior and caller tier, which provides some extra context beyond annotations, but does not elaborate on side effects or details of the return. No contradiction with annotations.

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 a single sentence, front-loaded with the action. It is concise but uses the imperative 'Describe' rather than a declarative statement, which slightly reduces clarity. No wasted words.

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?

The description mentions the high-level outputs (surface, payment, caller tier) but does not detail what 'MCP surface' means or the format of the response. Without an output schema, a more explicit description of the return would improve completeness. It is adequate but leaves ambiguity.

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

Parameters4/5

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

There are 0 parameters, so schema coverage is trivial (100%). The description does not need to add parameter meaning. Baseline of 4 is appropriate given no parameters.

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 describes the MCP surface, payment behavior, and active caller tier. It is a specific verb-resource pairing, though it could be more precise (e.g., 'returns information about...'). It distinguishes from the sibling 'research' tool by implying different functionality.

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 on when to use this tool versus alternatives. The description does not provide context for selection or exclusions. The only sibling is 'research', but no comparison is made.

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

A3.7/5.0
Disambiguation5/5

The two tools are highly distinct: keryx_status provides metadata about the server and caller, while research performs a complex research task. There is no functional overlap.

Naming Consistency4/5

Both use snake_case, but keryx_status is a noun phrase (status check) and research is a bare verb (action). Minor inconsistency in verb_noun pattern, but both are clear and predictable.

Tool Count3/5

With only 2 tools, the server feels minimal. While each tool has a clear scope, the small count may leave users wanting more (e.g., budget configuration, history). Borderline thin for a general-purpose server.

Completeness3/5

The server covers status and research, but lacks complementary tools like budget management, source listing, or result history. For a dedicated research assistant, these are notable gaps.