Disconnect an agent
revoke_connected_agentRevoke an OAuth-connected agent's access (client_id from get_connected_agents). It must sign in again to reconnect.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| client_id | Yes |
revoke_connected_agentRevoke an OAuth-connected agent's access (client_id from get_connected_agents). It must sign in again to reconnect.
| Name | Required | Description | Default |
|---|---|---|---|
| client_id | 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?
With no annotations provided, the description carries the behavioral disclosure burden. It clearly states that after revocation the agent must sign in again, revealing the main consequence of the action. It does not detail token invalidation timing or irreversibility, but the core effect is transparent.
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 that front-loads the action, includes the parameter source in parentheses, and adds the reconnection consequence. Every clause earns its place with no redundancy.
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 simple one-parameter revocation tool, the description covers what the tool does, how to get the parameter, and what happens afterward. It is slightly light on potential error cases or confirmation behavior, but nothing critical is missing for correct invocation.
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?
Schema description coverage is 0%, but the description compensates by explicitly naming the parameter (client_id) and telling the agent where to get it (from get_connected_agents). For a single required parameter, this is sufficient practical guidance even though format details are not specified.
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 specific verb ('Revoke') and a specific resource ('OAuth-connected agent's access'), making the action unmistakable. It also clarifies the source of the required client_id by referencing get_connected_agents, which distinguishes this from the read-only sibling tool.
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 parenthetical instructs the agent to obtain client_id from get_connected_agents, providing a clear workflow for when to use this tool. It lacks explicit exclusion criteria or comparison with alternatives, but the intended usage is well implied.
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 and action, with detailed descriptions that clarify boundaries. The main confusable pair is run_agent_chef vs next_actions, which both return the due-action checklist and operating instructions, differing only by trigger context. propose_recipes vs add_candidates are also related but clearly separated by phase (initiating a cycle vs appending during feedback).
The overwhelming majority follow a verb_noun snake_case pattern (get_, update_, set_, add_, record_, remove_), which is highly predictable. Minor deviations include next_actions being a bare noun phrase rather than get_next_actions, and favorite_recipe using 'favorite' as a verb instead of something like toggle_favorite.
At 34 tools, the surface is heavy for an agent to select from, exceeding the 25+ threshold for 'too many'. The domain is genuinely broad, but several utility and meta tools (dismiss_setup_checklist, record_schedule, get_connected_agents, get_instructions) and overlapping entry points (run_agent_chef, next_actions) inflate the count and could be consolidated without losing capability.
The full weekly lifecycle is covered end-to-end: propose, vote, feedback, add candidates, lock in, shop, order, cook, rate, and mark done. Recipe, member, ingredient, and preference management all have solid get/update/create coverage. Minor gaps include no way to delete a recipe, remove a candidate from an active ballot, or cancel a week beyond reopen_voting, but these are work-aroundable and don't create dead ends.