disconnect
Remove one or more connections. Single: {id}. Batch: {ids:[id,...]} — returns {results:[{id,success,error}]}.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| ids | No |
Remove one or more connections. Single: {id}. Batch: {ids:[id,...]} — returns {results:[{id,success,error}]}.
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| ids | No |
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?
The destructiveHint=true annotation already signals mutation, and 'Remove' is consistent with it. The description adds genuinely useful behavior: it explains single versus batch processing and the per-item success/error result envelope, which are not derivable from annotations alone.
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?
Two short sentences carry the entire necessary payload: action, scope, parameter syntax, and return shape. There is no wasted wording, and the primary action is front-loaded.
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?
For a low-complexity destructive tool with no output schema, the description covers input, output, and semantics efficiently. It stops short of advising when to choose single versus batch mode, but the semantics are simple enough that this is a minor gap.
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 fully compensates by documenting both parameters explicitly: 'id' for single removal and 'ids' for batch removal. It also gives concrete payload shapes and the result format, so an agent understands how to invoke the tool correctly.
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 uses a precise verb ('Remove') and resource ('connections') and immediately clarifies both invocation modes. It is clearly scoped relative to siblings like 'connect' (the opposite action) and 'remember'/'forget' (which manage memories rather than connections).
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 description gives no explicit when-to-use or when-not-to-use guidance, and it does not mention alternative tools. Usage context must be inferred entirely from the tool name and sibling list, so an agent gets no direct routing help.
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.
Each tool targets a distinct operation—lifecycle (remember/revise/forget), graph edges (connect/disconnect/why_connected), retrieval (recall/search/recent/history/orient/significance)—and the descriptions carefully disambiguate overlaps. However, the read/analysis cluster (recent, history, orient.recent, significance) could still cause initial misselection before reading the detailed descriptions.
Names are readable and consistently lowercase, but they do not follow a single convention: most are bare verbs (connect, remember, revise, search, visualise) while others are nouns (domains, history, recent, significance) and two are multiword phrases (suggest_connections, why_connected). This mix is still predictable enough to navigate, but less coherent than a uniform verb_noun surface.
16 tools is slightly above the typical 3–15 band, but the scope of a knowledge-graph memory server justifies the breadth: CRUD, connections, domain admin, and multiple query/analysis tools are all represented. No tool feels redundant enough to cut, though the set is at the heavy end.
Core lifecycle is well covered: create/read/update/archive/purge, connection creation/removal, domain admin, and multiple query/analysis modes. The main gap is that bulk domain merge (merge_domains) is referenced in tool descriptions but not exposed as an MCP tool, so agents must direct users to an external admin interface for that operation.