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Batch Execute & Search

ctx_batch_execute

Run multiple shell commands in a single batch, auto-index their output, and get answers to follow-up queries—all in one round trip.

Instructions

Run multiple commands in ONE call. Every command's output is auto-indexed into the knowledge base; if you also pass queries, the matching sections come back in the same round trip so a follow-up search call is not needed.

Concurrency parallelizes the FETCH phase (run-the-commands). The DERIVATION phase — turning raw output into an answer — still belongs in code: add a processing command that consumes the indexed output and prints only the answer, so the raw bytes never enter your conversation (Think-in-Code, same principle as the sandbox tool).

WHEN:

  • You have 3+ related commands you would otherwise run sequentially (multi-issue lookups, git log + git diff + git blame, multi-file reads, multi-region cloud queries)

  • You want to gather AND query in one round trip — pass queries so the matching sections come back inline

  • You want to parallelize I/O-bound work — pass concurrency 2-8 (network calls, gh CLI, cloud APIs, multi-repo git reads)

  • The combined output is large enough that piping it through ctx_search later would itself be expensive — let auto-index + inline queries do both in one shot

WHEN NOT:

  • Single command with no follow-up query — run it in the sandbox tool directly

  • CPU-bound or stateful commands — keep concurrency at 1 (npm test, build, lint, port-binding servers, lock-file holders, anything that races on the same resource)

RETURNS: Auto-indexed section list per command label, plus top matches per query (when queries is passed). Raw output is NOT echoed in full — only the matched windows. Concurrency>1 switches each command to its own per-command timeout (no shared budget); concurrency=1 preserves the legacy shared-budget cascading-skip-on-timeout path. Use 4-8 for I/O-bound batches; keep at 1 for CPU work or shared-state commands; lower the value when target hosts enforce per-IP rate limits.

EXAMPLE: ctx_batch_execute( commands: [ {label: "issue 1", command: "gh issue view 1"}, {label: "issue 2", command: "gh issue view 2"}, {label: "summarize", command: "echo done"} ], queries: ["root cause", "proposed fix"], concurrency: 2 )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandsYesCommands to execute as a batch. Output is labeled with the section header. Default order is sequential; pass concurrency>1 to run in parallel (output stays in input order).
queriesYesSearch queries to extract information from indexed output. Use 5-8 comprehensive queries. Each returns top 5 matching sections with full content. This is your ONLY chance — put ALL your questions here. No follow-up calls needed.
timeoutNoMax execution time in ms. When omitted, no server-side timer fires — the MCP host's RPC timeout governs. With concurrency=1, the value (when set) is a shared budget across commands; with concurrency>1, it is applied per-command.
concurrencyNoMax commands to run in parallel (1-8, default: 1). Use 4-8 for I/O-bound batches (network, gh, curl, multi-repo git reads). Keep at 1 for CPU-bound (npm test, build, lint) or stateful commands (ports, locks). >1 switches to per-command timeouts (no shared budget) and individual `(timed out)` blocks instead of cascading skip.
query_scopeNoScope for `queries` (default: `batch`). `batch` searches ONLY the chunks produced by this batch's commands — useful when you want answers about the just-fetched output. `global` searches the entire persistent index (same scope as ctx_search) — useful when you want the batch commands to enrich context and the queries to also surface related prior knowledge in one round trip.batch
Behavior5/5

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

No annotations are provided, so the description carries full burden. It details auto-indexing behavior, return format (no raw output, only matched windows), concurrency effects (per-command timeout vs shared budget), and scope for queries. Thoroughly discloses behavioral traits.

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 fairly long but well-structured with headings (WHEN, WHEN NOT, RETURNS, EXAMPLE). Each section adds value, though some redundancy exists (e.g., concurrency advice repeated). Minor opportunity for tighter prose.

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 the tool's complexity (batch execution, auto-indexing, queries, concurrency) and absent output schema, the description is complete: it explains return structure, lifecycle (FETCH/DERIVATION phases), and edge cases (timeout behavior, scope). No follow-up questions remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all 5 parameters. The description adds extra context beyond schema: e.g., 'queries' are your ONLY chance, 'concurrency' guidance on when to use higher values, and 'query_scope' semantics. While schema already explains basics, description enriches understanding.

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 'Run multiple commands in ONE call' and explains auto-indexing and inline querying. It distinguishes itself from sibling tools like `ctx_execute` (single command) and `ctx_search` (separate call) by combining fetching and searching.

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

Usage Guidelines5/5

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

Explicit WHEN (3+ related commands, gather AND query, parallelize I/O-bound work) and WHEN NOT (single command, CPU-bound/stateful commands) sections with concrete examples. Provides alternative (sandbox tool) and concurrency advice.

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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