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memoryguard_rule_merge_approve

Approve a pending rule-merge proposal using a server-issued single-use capability and admin context to authorize the merge securely.

Instructions

Approve one candidate rule-merge proposal with a server-issued single-use capability and trusted admin AccessContext.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
proposal_idYes
idempotency_keyYes
capability_tokenYes
mutation_receiptYesnative mutation receipt for this approval transaction
expected_definition_revisionsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.7.8

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose two important behavioral traits: the capability token is single-use and the operation requires a trusted admin AccessContext. However, it does not explain what approving the merge actually does to rules, whether the action is reversible, what happens to the proposal after approval, or the response/error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler words. It is concise, but for a security-sensitive operation with five required parameters and nested objects, the extreme brevity borders on under-specification rather than genuine 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's complexity — six parameters, nested mutation_receipt object, no output schema, no annotations, and a sensitive admin approval action — the description is incomplete. It omits the expected workflow, the meaning of expected_definition_revisions, the idempotency model, and the consequences of approval, leaving an agent under-equipped to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 17%, so the description needed to compensate for undocumented parameters such as proposal_id, expected_definition_revisions, idempotency_key, and workspace. It only adds meaning for capability_token by describing it as server-issued and single-use; the other required parameters remain semantically opaque.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Approve') and a specific resource ('one candidate rule-merge proposal'), making the core action immediately clear. It also distinguishes this tool from siblings like memoryguard_rule_merge_capability_issue and memoryguard_rule_merge_acknowledge by focusing on approval rather than issuing, acknowledging, or cooldown-clearing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool should be used after a server-issued capability token has been obtained and with an admin AccessContext, which gives some guidance. However, it does not explicitly state when to use this tool versus sibling merge-related tools, nor does it give exclusion conditions or a workflow sequence.

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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