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cisco_logs

Fetch buffered syslog messages from a Cisco device, optionally limited to the most recent lines. Enables AI agents to inspect device logs without raw SSH access.

Instructions

Fetch a Cisco device's buffered syslog messages ("show logging"), optionally capped to the most recent limit lines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNomaximum number of log lines to return — the most recent N messages, kept in their original oldest-to-newest order (default: all buffered lines)
deviceYesthe inventory router/switch name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
linesYes
deviceYes
timestampYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses that the messages come from the device's *buffered* log (not a live stream) and that `limit` returns the most recent lines in original order. It says nothing about permissions/credentials needed, buffer rotation, or output size — real gaps, though the operation is implicitly a safe read.

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?

A single tight sentence that front-loads the action and resource, then adds the optional cap. Every clause earns its place and nothing is padded.

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?

For a simple two-parameter read tool with an output schema present, the description need not explain return values and covers the core semantics. Only the absence of any access/prerequisite context keeps it from being fully complete.

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 both parameters are already documented in the schema, including the ordering behavior and the default of all buffered lines. The description restates the `limit` semantics without adding format or unit details beyond the schema, so baseline 3 applies.

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 names a specific verb ("Fetch") and resource ("a Cisco device's buffered syslog messages") and anchors it to the underlying CLI command ("show logging"). The device scope implicitly separates it from docker_logs/kubectl_logs, but it never explicitly routes against those siblings.

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?

There is no statement of when to use this tool versus alternatives (e.g. kubectl_logs, docker_logs, journal_errors) or any prerequisite context. Usage is only inferable from the resource name; no exclusions or conditions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.