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Glama

Symvanta

add_repository

Idempotent

Attach a public GitHub repository to the active project (owner + repo_name; clone URL derived). Idempotent. First attach dispatches an indexing job; response carries indexing_status ("queued" | "already_indexed") and indexing_job_id to poll. Data available once the index is stable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesGitHub owner (user or org)
feedbackNoOptional: report how a previous answer worked out; piggybacks on any call.
projectIdNoProject id from init/list_projects. Omit for the active project.
repo_nameYesRepository name
default_branchNoDefault branch (default main)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already provide idempotentHint and readOnlyHint/destructiveHint, but the description adds meaningful behavioral detail: the first attach triggers an indexing job, the response carries indexing_status and indexing_job_id, and data becomes available only after the index is stable. This goes beyond the annotations and helps the agent understand side effects and polling behavior.

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?

Three compact sentences each carry distinct value: what the tool does, idempotency plus the indexing side effect, and response/availability semantics. The most important information is front-loaded with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema, the description compensates by naming the response fields (indexing_status, indexing_job_id) and explaining how to interpret them. It covers the required inputs, behavior, side effects, and data availability, making the tool self-sufficient for correct invocation.

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 coverage is 100%, so the baseline is 3. The description adds mild value by highlighting owner + repo_name as the key pair and noting the clone URL is derived, but it does not meaningfully explain projectId, default_branch, or feedback beyond what the schema already states.

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 states a specific verb ('Attach') plus a concrete resource ('public GitHub repository to the active project') and names the core inputs ('owner + repo_name; clone URL derived'). This clearly distinguishes it from sibling tools like list_repositories or reindex_repository, which serve different operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: it applies to attaching a public repo to the active project, and 'first attach dispatches an indexing job' signals the initial-onboarding use case. Idempotency also implies it is safe to call again. It does not explicitly name alternatives like reindex_repository for already-attached repos, so it falls short of a 5.

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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TDQS

A4/5.0
Disambiguation4/5

Tools generally target distinct operations—repository attachment, symbol resolution, graph traversal, source access, indexing health—and the detailed routing notes reduce ambiguity. A few pairs still overlap in intent (quick_lookup vs locate symbol, context vs ask_codebase), so it is not perfectly unambiguous.

Naming Consistency3/5

All names are lowercase snake_case and readable, but the set mixes verb_noun patterns like add_repository and list_projects with single-word nouns/verbs like context, history, map, relate, and source, plus one acronym (adr). There is no predictable convention across the full surface, though individual names are clear.

Tool Count3/5

25 tools is at the high end for a single MCP server and falls in the 'feels heavy' range. The breadth is justified by the code-intelligence/query domain, but the selection surface is large for an agent to navigate efficiently.

Completeness4/5

The code indexing, search, graph query, source access, history, ADR, test lookup, and scope estimation needs are well covered. Minor gaps remain—no detach/remove repository, no ADR content editing, and source access is gated by an add-on—but these are workable.