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call518

MCP-OpenStack-Ops

get_load_balancer_l7_rules

Retrieve L7 rules for a given L7 policy, including rule types, values, and conditions.

Instructions

Get L7 rules for a specific L7 policy.

Args: policy_name_or_id: L7 policy name or ID (required)

Returns: JSON string containing L7 rules information including rule types, values, and conditions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
policy_name_or_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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. It describes the return format (JSON string with rule types, values, conditions) but does not disclose whether the operation is read-only, requires special permissions, or has any side effects. It adds moderate context but lacks full behavioral details.

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 concise with two short paragraphs (overview and Args/Returns). Every sentence serves a purpose, and the structure is clear. However, it could be slightly more compact by integrating the Args/Returns into prose.

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 tool's simplicity (single required param, no nested objects, existing output schema), the description covers the essential points: what it does, what the parameter means, and what it returns. Minor gaps include no discussion of error cases or empty results, but overall it is sufficient.

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 0%, so the description must compensate. It only restates that 'policy_name_or_id' is required without providing format hints, examples, or constraints beyond the schema's bare string type. This adds minimal value over the schema itself.

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 clearly states 'Get L7 rules for a specific L7 policy,' specifying the verb (Get), resource (L7 rules), and constraint (specific policy). This distinguishes it from sibling tools like get_load_balancer_l7_policies which retrieves policies, not rules.

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 usage when you need L7 rules for a known policy, but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. While it mentions 'specific L7 policy', it doesn't clarify that the policy must be obtained via another tool (e.g., get_load_balancer_l7_policies) first.

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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