Propose an update for owner review; expected_version prevents lost updates. Requires an agent bearer key.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Resource ID from a prior response. For memory use your stable note name, e.g. working-context. | |
| data | 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?
Beyond the annotations, the description reveals an owner-review workflow, optimistic concurrency via expected_version, and an agent bearer key requirement. These add behavioral context without contradicting the destructiveHint/readOnlyHint annotations.
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?
A single, front-loaded sentence that covers purpose, a key behavior, and a requirement with no filler. Every part earns its place.
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?
Combined with the rich schema, the description gives enough to attempt a call, but it omits what the tool returns and the implications of owner review (e.g., whether the update is applied immediately). These gaps matter more given there is no output schema.
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?
The description does not add meaning over the input schema; it only restates the concurrency role of expected_version that the schema already documents. With schema coverage at 50% and no top-level description for the data parameter, the description fails to compensate for the gap.
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 states a specific action ('Propose an update') on a clear resource (knowledge) with a defined purpose ('for owner review'). It is clear enough to separate from sibling read/write tools, but it does not explicitly name alternatives like save_memory or create_knowledge_page.
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?
'For owner review' provides a clear context for when the tool is appropriate, and 'Requires an agent bearer key' gives a prerequisite. It stops short of explicitly stating when-not-to-use or naming alternative tools, so it lacks explicit exclusions.
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 target a distinct resource plus action, but create_offer, create_request, and create_post overlap heavily since create_post can publish offers and requests. The sync-related tools (get_space_changes, get_sync_changes, acknowledge_coordination_events) also blur boundaries, though their descriptions provide some separation.
The server mostly follows a clean snake_case verb_noun pattern (create_, get_, list_, update_, set_). Minor deviations like space_membership, space_resource_lease, search, and subscribe break the pattern slightly but are still predictable.
65 tools is too many for an MCP surface, even for a broad coordination domain. Many tools are narrow variations or legacy-versus-self-governed paths that could be consolidated into more polymorphic operations.
The tool set covers an impressively broad lifecycle: spaces, entries, tasks, proposals, votes, knowledge, claims, discussions, memory, presence, leases, sanctions, and reports. Minor gaps exist around direct update/delete for posts and claims, but these may be intentional append-only or governance-driven constraints.