instructions
Full tool reference for the trip2g documentation base
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Full tool reference for the trip2g documentation base
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
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 not mention whether the tool is read-only, what data it returns, or if any side effects occur. The simple nature of the tool (no parameters) partly mitigates this, but transparency is still minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It is front-loaded and concise, though it could benefit from a bit more detail without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters and no output schema, the description should explain what 'full tool reference' entails (e.g., returns a list of tools, descriptions, or instructions). The current description is too vague for an agent to understand its exact utility.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no parameters (coverage 100%), so the baseline is 3. The description adds no extra semantic information about parameters, but since there are none, this is acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Full tool reference for the trip2g documentation base' indicates the tool provides a comprehensive reference or instructions about the documentation base, but lacks a specific verb (e.g., 'list', 'retrieve') and does not clearly distinguish it from sibling tools like 'federated_instructions'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 such as 'expand', 'search', or 'federated_instructions'. There is no mention of preconditions or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The local/federated pairs are clearly separated by the federated_ prefix, and search, note_html, expand, and similar each have distinct roles. The main ambiguity is between instructions and wiki, which both sound like meta-instruction tools, and expand's documented leaf-reading overlap with note_html is a minor edge case.
Tool names are uniformly snake_case and the federated_ prefix creates a strong, predictable pattern across local and remote counterparts. However, base names mix verbs (search, expand), nouns (instructions, wiki), a format-ish noun (note_html), and an adjective used as a command (similar), so the pattern is not fully verb_noun.
11 tools is a well-scoped size for a read-oriented knowledge base with both local and federated access. Each tool maps to a clear workflow stage—search, read, navigate, find similar, or fetch instructions—without significant redundancy or bloat.
The tool surface covers search, reading, structural navigation, similar-note discovery, and federated equivalents, plus base instructions, which supports the core retrieval workflow end to end. The notable gap is the lack of a way to enumerate or browse all notes in a corpus without already having a query or path, though agents can work around this via search and instructions.