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taherkaraki

tie-mcp-server

by taherkaraki

update_syslog

Update an existing syslog instance with new configuration parameters such as IP, port, protocol, and input type.

Instructions

Update syslog instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter: id
bodyYesValidates the post /syslogs response
Behavior2/5

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

With no annotations provided, the description carries full responsibility for disclosing behavioral traits. It only states 'Update syslog instance,' omitting important details like required permissions, side effects (e.g., whether updates trigger reconfiguration), and behavior for omitted fields in the body. This is insufficient for a mutation tool with a complex input schema.

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 sentence with no wasted words, achieving maximum conciseness. However, it could be slightly expanded to include a bit more context without sacrificing brevity, e.g., 'Update an existing syslog instance's configuration.' Still, it is appropriately sized for a simple update operation.

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 complexity of the input schema (nested object with 13 fields), the lack of output schema, and no annotations, the description is highly incomplete. It does not explain return values, success criteria, error scenarios, or how the update affects existing state. A mutation tool at this complexity level requires significantly more contextual information.

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?

The input schema has 100% coverage, describing both parameters (id and body) clearly. The description adds no additional meaning beyond what the schema provides, such as clarifying the purpose of specific body fields or constraints. Baseline 3 is appropriate since the schema does the heavy lifting.

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 'Update syslog instance' clearly identifies the action (update) and resource (syslog instance), effectively distinguishing it from sibling tools like create_syslog, delete_syslog, and list_syslogs. However, it lacks elaboration on what specific aspects can be updated, which is partly covered by the schema.

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 (e.g., when to use update_syslog instead of create_syslog or test_syslog). It does not mention prerequisites, such as requiring an existing syslog instance, nor does it specify scenarios where other tools would be more appropriate.

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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