Skip to main content
Glama

papertrail_for_symbol

Resolves a symbol and returns its context along with cached tracker rationale including issues, change requests, and reviews referencing it.

Instructions

Resolve a symbol, then return its current context plus the cached tracker rationale (issues / change requests / reviews) referencing it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
refNo
langNo
limitNo
symbolNo
allow_ambiguousNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions 'cached tracker rationale' and 'return its current context', but does not state if the tool is read-only, whether it requires specific permissions, if it mutates state, or what happens when no rationale exists. The behavioral profile is under-specified for a data retrieval tool.

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 that front-loads the core action ('Resolve a symbol') and then specifies the outputs. It is concise with no filler, though it could be slightly restructured to separate action from output for even clearer scanning.

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 6 parameters, no output schema, and no annotations, the description is insufficient for an agent to understand the full tool behavior. It does not explain what 'current context' means, how 'cached tracker rationale' is returned, or how parameters like limit and allow_ambiguous affect results. Crucial contextual details are missing for effective invocation.

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%, yet the description adds no information about how parameters (id, ref, lang, limit, symbol, allow_ambiguous) influence behavior. The phrase 'Resolve a symbol' implies the parameters select the symbol, but without detailing which parameter is primary or how they interact, the agent cannot infer parameter semantics from the description alone.

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 the tool resolves a symbol and returns its current context plus cached tracker rationale (issues/change requests/reviews). It specifies the action ('Resolve a symbol') and the output ('context plus rationale'), making the purpose unambiguous and distinct from sibling tools focused on chunks or commits.

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 like papertrail_for_chunk, papertrail_for_commit, or papertrail_refs_for_path. Given the large sibling set, the lack of contextual usage or exclusion criteria leaves the agent without direction for proper tool selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cq27-dev/rag-rat'

If you have feedback or need assistance with the MCP directory API, please join our Discord server