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Glama

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Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
varvararatta/botfactory-mcp
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 DescriptionsB

Average 3.5/5 across 3 of 3 tools scored. Lowest: 2.9/5.

Server CoherenceA
Disambiguation5/5

Each tool serves a distinct purpose: health check, listing record types, and DNS resolution. No overlap or ambiguity.

Naming Consistency4/5

Tool names mostly follow a verb_noun pattern (list_dns_types, resolve_dns), though 'health_check' is a compound noun. The inconsistency is minor and readability is not harmed.

Tool Count5/5

Three tools is well-scoped for a DNS lookup server. Each tool provides essential functionality without unnecessary extras or gaps.

Completeness4/5

The set covers the core DNS resolution workflow: check server health, discover supported types, and resolve records. A minor gap is the absence of a reverse lookup tool, but it is not critical for the stated purpose.

Available Tools

3 tools
health_checkBInspect

Server health check.

return format:
    dict: A dictionary indicating the health status of the server.
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It only states 'Server health check' without explaining what the check entails (e.g., which services are tested, whether it is read-only, or potential side effects).

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

Conciseness5/5

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

The description is extremely concise with two sentences: one for purpose and one for return format. Every word earns its place.

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 tool's simplicity (no parameters, no output schema), the description provides the bare minimum. It lacks details on error conditions, interpretation of the health status, or any prerequisites, making it adequate but not fully complete.

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 no parameters, so the baseline is 4. The description adds value by specifying the return format as a dictionary indicating health status, which goes beyond the empty schema.

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 'Server health check,' which is a specific verb-resource pair. Although no differentiation from siblings is needed, it is unambiguous and direct.

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 provided on when to use this tool versus alternatives like list_dns_types or resolve_dns. The description lacks context for appropriate usage.

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

list_dns_typesAInspect

List supported DNS record types for resolve_dns.

return format:
    dict: A dictionary containing the list of supported DNS record types.
ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior4/5

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

No annotations provided, but the description discloses the return format (a dict containing the list) and that it is for resolve_dns, which is sufficient for a simple read-only tool with no side effects.

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

Conciseness5/5

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

Two concise sentences front-load the purpose and return format, with no wasted words.

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

Completeness5/5

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

Given zero parameters and no output schema, the description fully covers what the tool does and returns, making it complete for this simple tool.

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?

No parameters; baseline score of 4 applies as the description adds no param info, but none is needed.

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 the tool lists supported DNS record types for resolve_dns, using a specific verb and resource, and distinguishes it from the sibling resolve_dns tool.

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

Usage Guidelines4/5

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

The description implies usage as a precursor to resolve_dns to discover available record types, providing adequate context without explicit 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.

resolve_dnsCInspect

Resolve DNS records. record_type: A, AAAA, MX, TXT, CNAME, NS.

params:
    name (str): The domain name to resolve.
    record_type (str): The type of DNS record to retrieve.

return format:
    dict: A dictionary containing the DNS resolution results.
ParametersJSON Schema
NameRequiredDescriptionDefault
nameYes
record_typeNoA
Behavior2/5

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

No annotations are provided, so the description must bear the burden. It notes the return format (dict) but lacks details on failure modes, edge cases (e.g., invalid domain), or any side effects. Behavior is minimally disclosed.

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 structured with sections for purpose, parameters, and return format. It is reasonably concise, though could be slightly tighter. No wasted words.

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?

Given the complexity (2 parameters, no output schema, no annotations), the description is incomplete. It lacks examples, error handling, and details on what the returned dict contains. Minimal completeness.

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 schema has 0% description coverage, so the description adds value by explaining 'name' and 'record_type', listing valid record types, and indicating the default. However, it does not specify format constraints or error conditions for 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 'Resolve DNS records' and lists record types, making the purpose clear. However, it does not explicitly distinguish from sibling tools health_check and list_dns_types, though the function is sufficiently distinct.

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 or prerequisites. The description simply states what it does without context for appropriate usage.

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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