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Glama

Server Details

Instant no-signup webhook & HTTP-request inspector for testing webhooks and agent tool-callbacks.

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.

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 DescriptionsA

Average 4.1/5 across 3 of 3 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool targets a distinct operation on bins: create, read requests, and clear requests. There is no overlap in functionality.

Naming Consistency5/5

All tools use a consistent verb_noun pattern with lowercase underscores (clear_bin, create_bin, get_requests).

Tool Count5/5

Three tools cover the essential operations for a capture bin service perfectly without unnecessary extras.

Completeness4/5

Core operations (create, read, clear) are present, but missing a bin deletion tool is a minor gap that agents can work around by creating a new bin.

Available Tools

3 tools
clear_binAInspect

Delete all captured requests from a bin (the bin stays usable). Requires the bin token.

ParametersJSON Schema
NameRequiredDescriptionDefault
tokenYesThe bin token.
bin_idYesThe bin id.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the bin stays usable and requires a token, but lacks details on irreversibility, authorization beyond token, or 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?

Single sentence, front-loaded with key information, no wasted words.

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

Completeness4/5

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

For a simple tool with two required parameters and no output schema, the description covers the core functionality and an important behavioral trait. Minor omission of whether the action is reversible.

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?

Schema description coverage is 100%, with both parameters already described succinctly in the schema. The description adds no additional meaning beyond what the schema provides, so baseline of 3 applies.

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?

Description clearly states the action (delete all captured requests), the resource (a bin), and the effect (the bin stays usable). It distinguishes from sibling tools create_bin and get_requests.

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

Usage Guidelines3/5

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

Description implies usage for clearing requests but does not specify when not to use it or provide alternatives. No explicit guidance on context or exclusions.

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

create_binAInspect

Create a new no-signup capture bin. Returns a live URL you can point any webhook, callback, or agent tool-callback at, plus a token to read what it captured. No account needed.

ParametersJSON Schema
NameRequiredDescriptionDefault
nameNoOptional label for the bin (max 60 chars).
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses that the tool returns a live URL and token, and requires no account. Lacks details on data retention or limits, but adequate for a simple creation tool.

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-loaded with purpose and action. No unnecessary words. Every sentence adds value.

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

Completeness4/5

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

No output schema, but description mentions return of URL and token. Context about bin usage (webhook, callback) is provided. Could be more specific about token usage or limits, but sufficient for typical use.

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?

Schema coverage is 100% with a well-described optional 'name' parameter. Description does not add additional parameter-specific meaning beyond the schema, earning baseline score of 3.

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?

Description clearly states 'Create a new no-signup capture bin' – specific verb and resource. Distinguishes from sibling tools (clear_bin, get_requests) by focusing on creation.

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?

Explicitly notes 'No account needed', which guides usage context. Does not directly specify when to use over siblings, but the clear creation purpose implicitly differentiates.

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

get_requestsAInspect

Read the HTTP requests captured by a bin (method, path, query, headers, body), newest first. Set wait to block until a request arrives — ideal for 'trigger then assert' with no polling loop.

ParametersJSON Schema
NameRequiredDescriptionDefault
waitNoSeconds to block (max 25) until a request arrives. 0 = return immediately.
limitNoMax requests to return (default 20, max 100).
sinceNoOnly return requests with ts greater than this (ms epoch). Use the ts of the last one you saw.
tokenYesThe bin token returned by create_bin.
bin_idYesThe bin id returned by create_bin.
Behavior3/5

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

No annotations provided, so description carries full burden. Describes ordering (newest first) and wait behavior. Does not disclose potential empty response behavior, rate limits, or authentication details beyond schema. Adequate but could be more thorough.

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 sentences, front-loaded with core action. First sentence states purpose and data fields; second adds usage tip. No wasted words, highly efficient.

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

Completeness4/5

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

With no output schema, description lists return fields (method, path, query, headers, body). Covers key aspects: ordering, wait functionality, data fields. Minimal gaps like pagination or error states, but adequate for a simple read 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?

Schema covers 100% of parameters with descriptions. Tool description adds practical context: for 'wait', explains use case; for 'since', recommends using timestamp of last seen request. Adds value beyond schema.

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?

Clearly states 'Read the HTTP requests captured by a bin (method, path, query, headers, body), newest first.' Identifies verb (read), resource (requests from bin), and attributes. Differentiates from siblings clear_bin and create_bin.

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?

Provides context: 'Set wait to block until a request arrives — ideal for 'trigger then assert' with no polling loop.' Implies usage for retrieving requests while siblings handle clearing/creation. No explicit when-not instructions but adequate.

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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