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Glama

Server Details

Blockchain SSN for AI agents. MCP-native identity, behavior enforcement, and immutable audit trail.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
getcyphrex/cyphrex-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 DescriptionsC

Average 2.4/5 across 6 of 6 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct aspect of agent lifecycle or action management: agent registration, behavior profiling, verification, action checking, logging, and audit retrieval. No two tools have overlapping purposes.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., register_agent, check_action). No mixed conventions or irregular formatting.

Tool Count5/5

With 6 tools, the set is well-scoped for an agent monitoring system. Each tool serves a clear function without redundancy or excess, fitting the domain perfectly.

Completeness4/5

Core operations are covered: registration, profiling, verification, action checking, logging, and auditing. Missing update/delete agent operations are minor gaps that agents can work around.

Available Tools

6 tools
check_actionCInspect

Run Cyphrex check on a proposed action

ParametersJSON Schema
NameRequiredDescriptionDefault
actionYes
apiKeyYes
agentIdYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose whether the check is read-only or has side effects, nor any behavioral traits like required permissions or rate limits.

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 a single short sentence with no wasted words, but it sacrifices informative content. It is not verbose, but the extreme brevity limits its value.

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

Completeness1/5

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

With three parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain what the check does, what it returns, or how to use the parameters effectively.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not explain the purpose or format of the three required parameters (agentId, action, apiKey). The schema provides types but no clarification, leaving the agent to guess their roles.

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 runs a Cyphrex check on a proposed action, which is a specific verb and resource. It distinguishes from siblings like get_audit_log and log_action, as it focuses on checking an action rather than logging or retrieving logs.

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. There is no mention of prerequisites, exclusions, or context for choosing check_action over other tools.

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

get_audit_logCInspect

Get Cyphrex audit log for an agent

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
apiKeyYes
agentIdYes
Behavior2/5

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

With no annotations, the description only says 'Get', implying a read operation. It omits critical details like the need for authentication (apiKey), potential errors, or whether the log data is sensitive.

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?

Single sentence is concise, but it lacks structure. It could be improved by adding one more sentence for parameter context without becoming verbose.

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 no output schema and three parameters, the description should explain the returned data format, pagination via limit, and authentication necessity. It covers none of these.

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

Parameters1/5

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

The description adds no information about the three parameters (agentId, apiKey, limit). All knowledge comes from the schema, which has 0% coverage in described text.

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 it retrieves an audit log for an agent. However, it does not differentiate from sibling tools like log_action or check_action, nor does it specify the scope of logs returned.

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. For example, it doesn't mention that log_action is for creating logs, while get_audit_log is for reading them.

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

log_actionCInspect

Log an executed action for a Cyphrex agent

ParametersJSON Schema
NameRequiredDescriptionDefault
actionYes
apiKeyYes
agentIdYes
metadataNo
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It only states the action, omitting details about authentication requirements, idempotency, error handling, or side effects. The required 'apiKey' parameter implies authentication, but this is not explicitly stated.

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 a single sentence, making it concise. However, it is too brief to fully serve its purpose, lacking essential details. The structure is minimally adequate but not well-organized.

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

Completeness1/5

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

Given 4 parameters (including a nested object), no output schema, and no annotations, the description is vastly incomplete. An agent cannot determine how to properly construct the request or what to expect in response.

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

Parameters1/5

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

The input schema has 0% description coverage, and the tool description adds no information about the parameters. The meaning and format of 'action', 'metadata', and the role of 'apiKey' and 'agentId' are left entirely to the schema, which lacks descriptions.

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 specifies the verb 'Log' and the resource 'an executed action for a Cyphrex agent', clearly indicating the tool's core function. It distinguishes from siblings like 'check_action' or 'get_audit_log' by focusing on logging rather than checking or retrieving. However, it does not explicitly differentiate from sibling tools.

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?

The description provides no guidance on when to use this tool versus alternatives like 'check_action' or 'get_audit_log'. There is no mention of prerequisites, exclusions, or 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.

register_agentCInspect

Register a new Cyphrex agent

ParametersJSON Schema
NameRequiredDescriptionDefault
nameYes
typeYes
apiKeyYes
descriptionYes
Behavior2/5

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

The description only says 'Register', implying creation, but provides no details on side effects, authentication requirements, or what happens upon registration. With no annotations, the description fails to disclose necessary behavioral traits.

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

Conciseness2/5

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

The description is extremely short (4 words), which is concise but severely under-specified. It does not provide enough information to be useful, sacrificing substance for brevity.

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

Completeness1/5

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

Given the complexity (4 required parameters, no output schema, no annotations), the description is entirely inadequate. It does not explain return values, side effects, or any contextual details needed for proper invocation.

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

Parameters1/5

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

The input schema has 4 required parameters with 0% schema description coverage. The description does not explain any parameters, leaving the agent to guess the meaning of 'name', 'type', 'description', and 'apiKey'.

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 action ('Register') and resource ('a new Cyphrex agent'), making the purpose immediately understandable. However, it does not differentiate from sibling tools, though none appear to be registration tools.

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, nor are there any prerequisites or conditions for registration mentioned. 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.

set_behavior_profileCInspect

Set behavior profile for an agent

ParametersJSON Schema
NameRequiredDescriptionDefault
apiKeyYes
agentIdYes
profileYes
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as idempotency, whether the profile is merged or replaced, or any 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.

Conciseness3/5

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

The description is extremely concise (one short sentence) but lacks critical details, making it borderline under-specified rather than efficiently informative.

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 no output schema and no annotations, the description fails to cover return values, error handling, or any behavioral context, leaving the agent with insufficient guidance.

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

Parameters1/5

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

With 0% schema description coverage and no explanation in the description, the meaning of 'profile' as a free-form object is entirely opaque, adding no semantic value beyond parameter names.

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 'Set behavior profile for an agent' clearly indicates a write operation (set) on a specific resource (behavior profile) and distinguishes it from sibling tools like check_action or get_audit_log.

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, nor any prerequisites or conditions.

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

verify_agentCInspect

Fetch/verify agent details

ParametersJSON Schema
NameRequiredDescriptionDefault
apiKeyYes
agentIdYes
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 full burden. It does not disclose whether the tool performs a read or write, auth requirements beyond the apiKey parameter, or any behavioral traits like side effects or rate limits.

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 brief but lacks substance; a single phrase 'Fetch/verify agent details' is efficient but could be more informative without being verbose. It does not fully earn its place by providing critical context.

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 no annotations, no output schema, and low parameter coverage, the description is incomplete. It does not indicate what the tool returns (e.g., details or success/failure) or how the parameters relate to verification.

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

Parameters2/5

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

Schema coverage is 0% with no parameter descriptions. The description adds no meaning beyond the parameter names 'agentId' and 'apiKey', failing to explain their purpose or constraints like required role or format.

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 'Fetch/verify agent details' clearly indicates a verb+resource combination for retrieving or validating agent information. It distinguishes from sibling tools like register_agent (creation) and check_action (action-related) by focusing on agent verification.

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?

The description provides no guidance on when to use this tool versus alternatives such as check_action or get_audit_log. It fails to specify context, prerequisites, or exclusions.

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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