Get Message
get_messageRead-onlyIdempotent
Authenticated tool to get message.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| appId | Yes | ||
| messageId | Yes |
Relin
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
C2.6/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, indicating safe read operations. The description adds 'authenticated' as minimal behavioral context. No contradictions, but little added value beyond annotations.
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 but under-specified. It lacks essential details, making it insufficient for an agent to use effectively. Conciseness should not come at the cost of completeness.
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 tool has no output schema and zero parameter descriptions, the description fails to provide expected context such as return format, error handling, or parameter constraints. It is incomplete for a simple retrieval tool.
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 mention parameters at all. The agent receives no additional meaning about appId or messageId beyond their names and types.
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 'Authenticated tool to get message' clearly indicates the verb 'get' and resource 'message', aligning with the tool name. However, it does not differentiate from sibling tools like get_app or get_endpoint, but given distinct resources, it is adequate.
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 usage guidelines are provided. The description lacks context on when to use this tool versus alternatives like list_messages, or any prerequisites beyond authentication.
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
Disambiguation4/5
Most tools have distinct purposes, but there is some overlap between `list_messages`, `list_recent_events`, and `list_message_attempts`, and between `replay_event` and `replay_events`. However, the descriptions generally clarify differences.
Naming Consistency4/5
The naming mostly follows a verb_noun pattern (create_, list_, get_, update_, delete_), with consistent snake_case. A few tools like `rotate_endpoint_secret` and `upsert_event_type` deviate but still use verb_noun structure.
Tool Count2/5
With 52 tools, the set is extremely large and may overwhelm agents. While the domain is complex, this many tools reduce coherence and make selection more difficult.
Completeness4/5
The tool surface is very comprehensive, covering CRUD for most resources, replay, retries, anomaly management, and webhook setup. Minor gaps exist (no delete for destinations, no update for sources), but core workflows are well-supported.