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Reach MCP

update_account_quotas

Idempotent

Update one or more quota configuration fields for a LinkedIn account. Only provided fields are updated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYesReach id of the LinkedIn account to act on, from list_accounts.
idempotency_keyNoOptional. A key you choose (a UUID is fine) that names this exact call. If you retry with the same key and the same arguments, the first call's result is returned and nothing is done twice on LinkedIn. Reusing a key with different arguments is refused. Keys expire after 24 hours.
daily_posts_confNoDaily limit for 'posts' on this account; 0 means unlimited.
daily_visits_confNoDaily limit for 'visits' on this account; 0 means unlimited.
daily_comments_confNoDaily limit for 'comments' on this account; 0 means unlimited.
daily_messages_confNoDaily limit for 'messages' on this account; 0 means unlimited.
daily_reactions_confNoDaily limit for 'reactions' on this account; 0 means unlimited.
daily_invitations_confNoDaily limit for 'invitations' on this account; 0 means unlimited.
daily_imports_salesnav_confNoDaily limit for 'imports_salesnav' on this account; 0 means unlimited.
daily_imports_standard_confNoDaily limit for 'imports_standard' on this account; 0 means unlimited.
daily_imports_recruiter_confNoDaily limit for 'imports_recruiter' on this account; 0 means unlimited.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
quotasNo
updatedNo
account_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotation set includes `readOnlyHint: false` and `idempotentHint: true`, which already tells the agent this is a mutating, idempotent operation. The description adds one meaningful behavioral detail: 'Only provided fields are updated,' clarifying partial-update semantics. However, it does not explain what happens to unprovided fields (they remain unchanged), nor the idempotency-key mechanism already described in the schema. It adds modest value beyond annotations.

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

Conciseness5/5

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

The description is a single, information-dense sentence with no filler. It is front-loaded, immediately stating the action and scope. Every word earns its place, and the 'only provided fields' clause is an efficient behavioral qualifier.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of a fully descriptive schema (11 params, 100% coverage) and a dedicated output schema, the description covers the core intent adequately. The partial-update behavior is stated, and idempotency is already implied by the annotation and detailed in the parameter schema. It does not mention potential errors or prerequisites, but those are not critical for a straightforward update operation with an idempotency key. Missing guidance on when not to use the tool slightly lowers this score.

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

Parameters3/5

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

Schema description coverage is 100%, so every parameter (including `idempotency_key` and each `daily_*_conf` field) already has a detailed description in the schema. The tool description adds no additional parameter-specific meaning beyond the phrase 'one or more quota configuration fields,' which merely restates the existence of optional parameters. The baseline of 3 applies because the schema fully carries the semantic load.

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

Purpose4/5

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

The description states a clear verb ('Update') and a specific resource ('quota configuration fields for a LinkedIn account'), which is unambiguous. However, it does not explicitly differentiate from the read counterpart `get_account_quotas` or any other update tool, so a sibling-aware agent might need to infer the distinction from the name alone.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., the account must exist), nor does it state when a different tool like `get_account_quotas` would be more appropriate. The agent is left to infer usage context entirely from the name and parameter schema.

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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