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Glama

hookpulse

list_events

Latest ingest pings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
tokenNo
guest_tokenNo

Schema Changelog

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

  1. First observed

TDQS

D1.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only hints at the content ('Latest ingest pings'). It does not state whether the operation is read-only, how results are ordered or paginated, what authentication is needed, or what the response contains.

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 short but not usefully concise; it is an under-specified fragment rather than a complete sentence. It omits the action, parameters, and any contextual details needed to use the tool.

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?

The tool has three parameters, no annotations, no output schema, and a description that is only a fragment. This is far too little information for an agent to construct a correct call or interpret the result.

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%, so the description needed to explain id, token, and guest_token. It mentions none of them, leaving all three parameters completely undefined in prose.

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

Purpose2/5

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

The description is a noun phrase ('Latest ingest pings') rather than an explicit statement of what the tool does; it names a resource but never says the tool lists or retrieves it. It also provides no differentiation from siblings like list_endpoints or list_templates.

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?

There is no guidance about when to use this tool versus alternatives such as ping_ingest or list_endpoints. No context, prerequisites, or exclusions are given, so an agent must guess the intended use case.

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

C2.8/5.0
Disambiguation5/5

Each tool targets a distinct resource or action: endpoint lifecycle, guest tokens, events, templates, billing, contact, health, and status feeds are clearly separated. Even related tools like get_endpoint and list_endpoints have clearly different scopes.

Naming Consistency3/5

The create_/get_/list_/delete_ prefix pattern is consistent for resource operations, but several tools are bare nouns (api_index, billing, contact, health, status_feed_url) and status_feed_rotate reverses the expected verb-object order. The mixed style reduces predictability.

Tool Count5/5

Fourteen tools is within the ideal scope for an API-focused server, and each tool provides a meaningful capability for using the HookPulse service. The count feels complete without being bloated.

Completeness4/5

The endpoint lifecycle is well covered with create, get, list, and delete, plus supporting features like events, templates, status feeds, and billing. There is no explicit update/pause endpoint operation, but that may be outside the dead-man endpoint model, so the gap is minor.

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