Rotate Source Token
rotate_source_tokenAuthenticated tool for rotating an ingest token and returning the replacement URL once.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sourceId | Yes |
rotate_source_tokenAuthenticated tool for rotating an ingest token and returning the replacement URL once.
| Name | Required | Description | Default |
|---|---|---|---|
| sourceId | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations show readOnlyHint=false and destructiveHint=false, but the description adds context about authentication and one-time use. However, it does not disclose side effects like invalidation of the old token or irreversibility.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no wasted words. It could be improved by front-loading key details, but it is efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description mentions the return value (replacement URL). However, it lacks details on constraints, prerequisites, or what happens after rotation. Adequate but has gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description should explain the sole parameter 'sourceId'. It does not mention it, leaving the agent to infer its meaning from the tool's purpose.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('rotating'), the resource ('ingest token'), and the output ('returning the replacement URL once'). It distinguishes from sibling 'rotate_endpoint_secret' by being specific to source tokens.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'once' implies a one-time use, but there is no explicit guidance on when to use this tool versus alternatives like 'rotate_endpoint_secret'. Usage context is implied but not elaborated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.